Instructions to use Irina1402/smolvlm-painting-description with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Irina1402/smolvlm-painting-description with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Upload 8 files
Browse files- README.md +202 -0
- adapter_config.json +40 -0
- adapter_model.safetensors +3 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- trainer_state.json +369 -0
- training_args.bin +3 -0
README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: HuggingFaceTB/SmolVLM-256M-Instruct
|
| 3 |
+
library_name: peft
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.14.0
|
adapter_config.json
ADDED
|
@@ -0,0 +1,40 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": {
|
| 4 |
+
"base_model_class": "Idefics3ForConditionalGeneration",
|
| 5 |
+
"parent_library": "transformers.models.idefics3.modeling_idefics3"
|
| 6 |
+
},
|
| 7 |
+
"base_model_name_or_path": "HuggingFaceTB/SmolVLM-256M-Instruct",
|
| 8 |
+
"bias": "none",
|
| 9 |
+
"eva_config": null,
|
| 10 |
+
"exclude_modules": null,
|
| 11 |
+
"fan_in_fan_out": false,
|
| 12 |
+
"inference_mode": true,
|
| 13 |
+
"init_lora_weights": "gaussian",
|
| 14 |
+
"layer_replication": null,
|
| 15 |
+
"layers_pattern": null,
|
| 16 |
+
"layers_to_transform": null,
|
| 17 |
+
"loftq_config": {},
|
| 18 |
+
"lora_alpha": 8,
|
| 19 |
+
"lora_bias": false,
|
| 20 |
+
"lora_dropout": 0.05,
|
| 21 |
+
"megatron_config": null,
|
| 22 |
+
"megatron_core": "megatron.core",
|
| 23 |
+
"modules_to_save": null,
|
| 24 |
+
"peft_type": "LORA",
|
| 25 |
+
"r": 16,
|
| 26 |
+
"rank_pattern": {},
|
| 27 |
+
"revision": null,
|
| 28 |
+
"target_modules": [
|
| 29 |
+
"up_proj",
|
| 30 |
+
"v_proj",
|
| 31 |
+
"k_proj",
|
| 32 |
+
"down_proj",
|
| 33 |
+
"o_proj",
|
| 34 |
+
"gate_proj",
|
| 35 |
+
"q_proj"
|
| 36 |
+
],
|
| 37 |
+
"task_type": null,
|
| 38 |
+
"use_dora": true,
|
| 39 |
+
"use_rslora": false
|
| 40 |
+
}
|
adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2781ad4387cecd2ee4dd4e22df36c325fe84baafdfae9016e6de75fb0abbd782
|
| 3 |
+
size 23917072
|
optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bbd890c29489c2a43f24e939650ac83115eda4f43b520cfee38e7465fcf70aa1
|
| 3 |
+
size 14960568
|
rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9290b143c740ef12736dfa02488d19b11b0f1f91e32ed23d4ff6dee60ae602a3
|
| 3 |
+
size 14244
|
scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3a102b873ee8248d917b027720efcb6fd58cb631f2116aaee8ea67c37e84f50c
|
| 3 |
+
size 1064
|
trainer_state.json
ADDED
|
@@ -0,0 +1,369 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 0.9993764290168364,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 1202,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.020785699438786116,
|
| 13 |
+
"grad_norm": 2.734440803527832,
|
| 14 |
+
"learning_rate": 5e-06,
|
| 15 |
+
"loss": 3.9975,
|
| 16 |
+
"step": 25
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.04157139887757223,
|
| 20 |
+
"grad_norm": 2.1083433628082275,
|
| 21 |
+
"learning_rate": 1e-05,
|
| 22 |
+
"loss": 3.9298,
|
| 23 |
+
"step": 50
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.06235709831635834,
|
| 27 |
+
"grad_norm": 1.990794062614441,
|
| 28 |
+
"learning_rate": 9.782986111111113e-06,
|
| 29 |
+
"loss": 3.7079,
|
| 30 |
+
"step": 75
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.08314279775514447,
|
| 34 |
+
"grad_norm": 1.1073641777038574,
|
| 35 |
+
"learning_rate": 9.565972222222222e-06,
|
| 36 |
+
"loss": 3.4886,
|
| 37 |
+
"step": 100
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.10392849719393057,
|
| 41 |
+
"grad_norm": 0.7308239340782166,
|
| 42 |
+
"learning_rate": 9.348958333333335e-06,
|
| 43 |
+
"loss": 3.286,
|
| 44 |
+
"step": 125
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.12471419663271668,
|
| 48 |
+
"grad_norm": 0.6134746670722961,
|
| 49 |
+
"learning_rate": 9.131944444444445e-06,
|
| 50 |
+
"loss": 3.1505,
|
| 51 |
+
"step": 150
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.1454998960715028,
|
| 55 |
+
"grad_norm": 0.5232350826263428,
|
| 56 |
+
"learning_rate": 8.914930555555556e-06,
|
| 57 |
+
"loss": 3.099,
|
| 58 |
+
"step": 175
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.16628559551028893,
|
| 62 |
+
"grad_norm": 0.5310938954353333,
|
| 63 |
+
"learning_rate": 8.697916666666667e-06,
|
| 64 |
+
"loss": 3.0112,
|
| 65 |
+
"step": 200
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.18707129494907504,
|
| 69 |
+
"grad_norm": 0.4157707095146179,
|
| 70 |
+
"learning_rate": 8.48090277777778e-06,
|
| 71 |
+
"loss": 2.8997,
|
| 72 |
+
"step": 225
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.20785699438786115,
|
| 76 |
+
"grad_norm": 0.38247939944267273,
|
| 77 |
+
"learning_rate": 8.263888888888888e-06,
|
| 78 |
+
"loss": 2.8774,
|
| 79 |
+
"step": 250
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.22864269382664726,
|
| 83 |
+
"grad_norm": 0.43697381019592285,
|
| 84 |
+
"learning_rate": 8.046875e-06,
|
| 85 |
+
"loss": 2.8397,
|
| 86 |
+
"step": 275
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.24942839326543337,
|
| 90 |
+
"grad_norm": 0.43171486258506775,
|
| 91 |
+
"learning_rate": 7.829861111111112e-06,
|
| 92 |
+
"loss": 2.7897,
|
| 93 |
+
"step": 300
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.2702140927042195,
|
| 97 |
+
"grad_norm": 0.35729026794433594,
|
| 98 |
+
"learning_rate": 7.612847222222223e-06,
|
| 99 |
+
"loss": 2.7498,
|
| 100 |
+
"step": 325
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.2909997921430056,
|
| 104 |
+
"grad_norm": 0.4240734279155731,
|
| 105 |
+
"learning_rate": 7.395833333333335e-06,
|
| 106 |
+
"loss": 2.6836,
|
| 107 |
+
"step": 350
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.31178549158179175,
|
| 111 |
+
"grad_norm": 0.3893283009529114,
|
| 112 |
+
"learning_rate": 7.1788194444444445e-06,
|
| 113 |
+
"loss": 2.7183,
|
| 114 |
+
"step": 375
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.33257119102057786,
|
| 118 |
+
"grad_norm": 0.3917147219181061,
|
| 119 |
+
"learning_rate": 6.961805555555556e-06,
|
| 120 |
+
"loss": 2.6586,
|
| 121 |
+
"step": 400
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.35335689045936397,
|
| 125 |
+
"grad_norm": 0.44135338068008423,
|
| 126 |
+
"learning_rate": 6.744791666666667e-06,
|
| 127 |
+
"loss": 2.653,
|
| 128 |
+
"step": 425
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.3741425898981501,
|
| 132 |
+
"grad_norm": 0.3476935625076294,
|
| 133 |
+
"learning_rate": 6.5277777777777784e-06,
|
| 134 |
+
"loss": 2.5654,
|
| 135 |
+
"step": 450
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.3949282893369362,
|
| 139 |
+
"grad_norm": 0.24660900235176086,
|
| 140 |
+
"learning_rate": 6.310763888888889e-06,
|
| 141 |
+
"loss": 2.5625,
|
| 142 |
+
"step": 475
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.4157139887757223,
|
| 146 |
+
"grad_norm": 0.2546718716621399,
|
| 147 |
+
"learning_rate": 6.093750000000001e-06,
|
| 148 |
+
"loss": 2.5691,
|
| 149 |
+
"step": 500
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.4364996882145084,
|
| 153 |
+
"grad_norm": 0.24869012832641602,
|
| 154 |
+
"learning_rate": 5.876736111111112e-06,
|
| 155 |
+
"loss": 2.5861,
|
| 156 |
+
"step": 525
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.4572853876532945,
|
| 160 |
+
"grad_norm": 0.2396017462015152,
|
| 161 |
+
"learning_rate": 5.659722222222222e-06,
|
| 162 |
+
"loss": 2.565,
|
| 163 |
+
"step": 550
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.4780710870920806,
|
| 167 |
+
"grad_norm": 0.26274845004081726,
|
| 168 |
+
"learning_rate": 5.442708333333334e-06,
|
| 169 |
+
"loss": 2.5191,
|
| 170 |
+
"step": 575
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.49885678653086674,
|
| 174 |
+
"grad_norm": 0.24700729548931122,
|
| 175 |
+
"learning_rate": 5.2256944444444445e-06,
|
| 176 |
+
"loss": 2.486,
|
| 177 |
+
"step": 600
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.5196424859696529,
|
| 181 |
+
"grad_norm": 0.2400694340467453,
|
| 182 |
+
"learning_rate": 5.008680555555556e-06,
|
| 183 |
+
"loss": 2.4332,
|
| 184 |
+
"step": 625
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.540428185408439,
|
| 188 |
+
"grad_norm": 0.23329533636569977,
|
| 189 |
+
"learning_rate": 4.791666666666668e-06,
|
| 190 |
+
"loss": 2.5027,
|
| 191 |
+
"step": 650
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.5612138848472251,
|
| 195 |
+
"grad_norm": 0.2405698299407959,
|
| 196 |
+
"learning_rate": 4.574652777777778e-06,
|
| 197 |
+
"loss": 2.4649,
|
| 198 |
+
"step": 675
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.5819995842860112,
|
| 202 |
+
"grad_norm": 0.2957931458950043,
|
| 203 |
+
"learning_rate": 4.357638888888889e-06,
|
| 204 |
+
"loss": 2.4246,
|
| 205 |
+
"step": 700
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.6027852837247973,
|
| 209 |
+
"grad_norm": 0.2754002511501312,
|
| 210 |
+
"learning_rate": 4.140625000000001e-06,
|
| 211 |
+
"loss": 2.5025,
|
| 212 |
+
"step": 725
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.6235709831635835,
|
| 216 |
+
"grad_norm": 0.2665573060512543,
|
| 217 |
+
"learning_rate": 3.9236111111111114e-06,
|
| 218 |
+
"loss": 2.4752,
|
| 219 |
+
"step": 750
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.6443566826023696,
|
| 223 |
+
"grad_norm": 0.26163598895072937,
|
| 224 |
+
"learning_rate": 3.7065972222222226e-06,
|
| 225 |
+
"loss": 2.4401,
|
| 226 |
+
"step": 775
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.6651423820411557,
|
| 230 |
+
"grad_norm": 0.25856491923332214,
|
| 231 |
+
"learning_rate": 3.4895833333333333e-06,
|
| 232 |
+
"loss": 2.4005,
|
| 233 |
+
"step": 800
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.6859280814799418,
|
| 237 |
+
"grad_norm": 0.2826252579689026,
|
| 238 |
+
"learning_rate": 3.2725694444444445e-06,
|
| 239 |
+
"loss": 2.4668,
|
| 240 |
+
"step": 825
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 0.7067137809187279,
|
| 244 |
+
"grad_norm": 0.23859556019306183,
|
| 245 |
+
"learning_rate": 3.055555555555556e-06,
|
| 246 |
+
"loss": 2.4815,
|
| 247 |
+
"step": 850
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 0.727499480357514,
|
| 251 |
+
"grad_norm": 0.1961268186569214,
|
| 252 |
+
"learning_rate": 2.838541666666667e-06,
|
| 253 |
+
"loss": 2.4864,
|
| 254 |
+
"step": 875
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 0.7482851797963002,
|
| 258 |
+
"grad_norm": 0.23380087316036224,
|
| 259 |
+
"learning_rate": 2.621527777777778e-06,
|
| 260 |
+
"loss": 2.445,
|
| 261 |
+
"step": 900
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.7690708792350862,
|
| 265 |
+
"grad_norm": 0.181913822889328,
|
| 266 |
+
"learning_rate": 2.404513888888889e-06,
|
| 267 |
+
"loss": 2.4395,
|
| 268 |
+
"step": 925
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 0.7898565786738724,
|
| 272 |
+
"grad_norm": 0.1909315139055252,
|
| 273 |
+
"learning_rate": 2.1875000000000002e-06,
|
| 274 |
+
"loss": 2.48,
|
| 275 |
+
"step": 950
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 0.8106422781126585,
|
| 279 |
+
"grad_norm": 0.2427852749824524,
|
| 280 |
+
"learning_rate": 1.9704861111111114e-06,
|
| 281 |
+
"loss": 2.4229,
|
| 282 |
+
"step": 975
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 0.8314279775514446,
|
| 286 |
+
"grad_norm": 0.2102808803319931,
|
| 287 |
+
"learning_rate": 1.7534722222222223e-06,
|
| 288 |
+
"loss": 2.4376,
|
| 289 |
+
"step": 1000
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 0.8522136769902308,
|
| 293 |
+
"grad_norm": 0.2348516285419464,
|
| 294 |
+
"learning_rate": 1.5364583333333335e-06,
|
| 295 |
+
"loss": 2.4957,
|
| 296 |
+
"step": 1025
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 0.8729993764290168,
|
| 300 |
+
"grad_norm": 0.24628274142742157,
|
| 301 |
+
"learning_rate": 1.3194444444444446e-06,
|
| 302 |
+
"loss": 2.4533,
|
| 303 |
+
"step": 1050
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 0.893785075867803,
|
| 307 |
+
"grad_norm": 0.19529680907726288,
|
| 308 |
+
"learning_rate": 1.1024305555555556e-06,
|
| 309 |
+
"loss": 2.5214,
|
| 310 |
+
"step": 1075
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 0.914570775306589,
|
| 314 |
+
"grad_norm": 0.21463939547538757,
|
| 315 |
+
"learning_rate": 8.854166666666668e-07,
|
| 316 |
+
"loss": 2.4413,
|
| 317 |
+
"step": 1100
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 0.9353564747453752,
|
| 321 |
+
"grad_norm": 0.20561440289020538,
|
| 322 |
+
"learning_rate": 6.684027777777778e-07,
|
| 323 |
+
"loss": 2.42,
|
| 324 |
+
"step": 1125
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 0.9561421741841613,
|
| 328 |
+
"grad_norm": 0.21936245262622833,
|
| 329 |
+
"learning_rate": 4.5138888888888893e-07,
|
| 330 |
+
"loss": 2.5077,
|
| 331 |
+
"step": 1150
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 0.9769278736229474,
|
| 335 |
+
"grad_norm": 0.20694172382354736,
|
| 336 |
+
"learning_rate": 2.3437500000000003e-07,
|
| 337 |
+
"loss": 2.4735,
|
| 338 |
+
"step": 1175
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 0.9977135730617335,
|
| 342 |
+
"grad_norm": 0.23707596957683563,
|
| 343 |
+
"learning_rate": 1.736111111111111e-08,
|
| 344 |
+
"loss": 2.4102,
|
| 345 |
+
"step": 1200
|
| 346 |
+
}
|
| 347 |
+
],
|
| 348 |
+
"logging_steps": 25,
|
| 349 |
+
"max_steps": 1202,
|
| 350 |
+
"num_input_tokens_seen": 0,
|
| 351 |
+
"num_train_epochs": 1,
|
| 352 |
+
"save_steps": 250,
|
| 353 |
+
"stateful_callbacks": {
|
| 354 |
+
"TrainerControl": {
|
| 355 |
+
"args": {
|
| 356 |
+
"should_epoch_stop": false,
|
| 357 |
+
"should_evaluate": false,
|
| 358 |
+
"should_log": false,
|
| 359 |
+
"should_save": true,
|
| 360 |
+
"should_training_stop": true
|
| 361 |
+
},
|
| 362 |
+
"attributes": {}
|
| 363 |
+
}
|
| 364 |
+
},
|
| 365 |
+
"total_flos": 3.61064189789568e+16,
|
| 366 |
+
"train_batch_size": 4,
|
| 367 |
+
"trial_name": null,
|
| 368 |
+
"trial_params": null
|
| 369 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6802bbada7da06895b4fce052b3647907907772094bad179340918b7fb02f70d
|
| 3 |
+
size 5304
|