Model save

README.md

@@ -1,202 +1,266 @@
 ---
-base_model: internlm/internlm3-8b-instruct
 library_name: peft
+license: apache-2.0
+base_model: internlm/internlm3-8b-instruct
+tags:
+- axolotl
+- generated_from_trainer
+datasets:
+- ToastyPigeon/some-rp
+- BeaverAI/cedo-unalignment
+- BeaverAI/foundRP
+- PocketDoc/Dans-Prosemaxx-Gutenberg
+- ToastyPigeon/SpringDragon-Instruct
+- allenai/tulu-3-sft-personas-instruction-following
+- allura-org/fujin-cleaned-stage-2
+model-index:
+- name: intern-rp-lora
+  results: []
 ---
 
-# Model Card for Model ID
-
-<!-- Provide a quick summary of what the model is/does. -->
-
-
-
-## Model Details
-
-### Model Description
-
-<!-- Provide a longer summary of what this model is. -->
-
-
-
-- **Developed by:** [More Information Needed]
-- **Funded by [optional]:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Model type:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
-- **Finetuned from model [optional]:** [More Information Needed]
-
-### Model Sources [optional]
-
-<!-- Provide the basic links for the model. -->
-
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
-
-## Uses
-
-<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
-
-### Direct Use
-
-<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
-
-[More Information Needed]
-
-### Downstream Use [optional]
-
-<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
-
-[More Information Needed]
-
-### Out-of-Scope Use
-
-<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
-
-[More Information Needed]
-
-## Bias, Risks, and Limitations
-
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
-
-[More Information Needed]
-
-### Recommendations
-
-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
-
-Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
-
-## How to Get Started with the Model
-
-Use the code below to get started with the model.
-
-[More Information Needed]
-
-## Training Details
-
-### Training Data
-
-<!-- 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. -->
-
-[More Information Needed]
-
-### Training Procedure
-
-<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
-
-#### Preprocessing [optional]
-
-[More Information Needed]
-
-
-#### Training Hyperparameters
-
-- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
-
-#### Speeds, Sizes, Times [optional]
-
-<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
-
-[More Information Needed]
-
-## Evaluation
-
-<!-- This section describes the evaluation protocols and provides the results. -->
-
-### Testing Data, Factors & Metrics
-
-#### Testing Data
-
-<!-- This should link to a Dataset Card if possible. -->
-
-[More Information Needed]
-
-#### Factors
-
-<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
-
-[More Information Needed]
-
-#### Metrics
-
-<!-- These are the evaluation metrics being used, ideally with a description of why. -->
-
-[More Information Needed]
-
-### Results
-
-[More Information Needed]
-
-#### Summary
-
-
-
-## Model Examination [optional]
-
-<!-- Relevant interpretability work for the model goes here -->
-
-[More Information Needed]
-
-## Environmental Impact
-
-<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
-
-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).
-
-- **Hardware Type:** [More Information Needed]
-- **Hours used:** [More Information Needed]
-- **Cloud Provider:** [More Information Needed]
-- **Compute Region:** [More Information Needed]
-- **Carbon Emitted:** [More Information Needed]
-
-## Technical Specifications [optional]
-
-### Model Architecture and Objective
-
-[More Information Needed]
-
-### Compute Infrastructure
-
-[More Information Needed]
-
-#### Hardware
-
-[More Information Needed]
-
-#### Software
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-[More Information Needed]
-
-## Citation [optional]
-
-<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
-
-**BibTeX:**
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-[More Information Needed]
-
-**APA:**
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-
-## Glossary [optional]
-
-<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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-[More Information Needed]
-
-## More Information [optional]
-
-[More Information Needed]
-
-## Model Card Authors [optional]
-
-[More Information Needed]
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
+<details><summary>See axolotl config</summary>
+
+axolotl version: `0.6.0`
+```yaml
+# git clone https://github.com/axolotl-ai-cloud/axolotl
+# cd axolotl
+# git checkout bd2a594b8954103719f8d1ef739e2c3267ca36f6
+# pip3 install packaging ninja huggingface_hub[cli]
+# pip3 install -e '.[flash-attn,deepspeed]'
+# huggingface-cli login --token $hf_key && wandb login $wandb_key
+# python -m axolotl.cli.preprocess intern-rp-test-human.yml
+# accelerate launch -m axolotl.cli.train intern-rp-test-human.yml
+# python -m axolotl.cli.merge_lora qwen-rp-test-human.yml
+# huggingface-cli upload ToastyPigeon/tqi-some-rp-40 train-workspace/merged . --exclude "*.md"
+# sleep 10h; runpodctl stop pod $RUNPOD_POD_ID &
+
+# git clone https://github.com/axolotl-ai-cloud/axolotl && cd axolotl && pip3 install packaging ninja huggingface_hub[cli] && pip3 install -e '.[flash-attn,deepspeed]' && cd .. && huggingface-cli login --token $hf_key && wandb login $wandb_key
+
+# Model
+base_model: internlm/internlm3-8b-instruct
+model_type: AutoModelForCausalLM
+tokenizer_type: AutoTokenizer
+trust_remote_code: true
+
+load_in_8bit: false
+load_in_4bit: true
+strict: false
+bf16: true
+fp16:
+tf32: false
+flash_attention: true
+special_tokens:
+
+# Output
+output_dir: ./train-workspace
+hub_model_id: ToastyPigeon/intern-rp-lora
+hub_strategy: "all_checkpoints"
+auto_resume_from_checkpoint: true
+#resume_from_checkpoint: ./train-workspace/checkpoint-304
+saves_per_epoch: 2
+save_total_limit: 4
+
+# Data
+sequence_len: 8192 # fits
+min_sample_len: 128
+chat_template: chatml
+dataset_prepared_path: last_run_prepared
+datasets:
+  - path: ToastyPigeon/some-rp
+    type: chat_template
+    field_messages: conversations
+    message_field_role: from
+    message_field_content: value
+    #train_on_inputs: true
+  - path: BeaverAI/cedo-unalignment
+    type: chat_template
+    field_messages: conversations
+    message_field_role: from
+    message_field_content: value
+  - path: BeaverAI/foundRP
+    type: chat_template
+    field_messages: conversations
+    message_field_role: from
+    message_field_content: value
+    split: train[:1000]
+  - path: PocketDoc/Dans-Prosemaxx-Gutenberg
+    type: chat_template
+    field_messages: conversations
+    message_field_role: from
+    message_field_content: value
+  - path: ToastyPigeon/SpringDragon-Instruct
+    type: chat_template
+    field_messages: conversations
+    message_field_role: from
+    message_field_content: value
+    split: train[:500]
+  - path: allenai/tulu-3-sft-personas-instruction-following
+    type: chat_template
+    field_messages: messages
+    message_field_role: role
+    message_field_content: content
+    split: train[:500]
+  - path: allura-org/fujin-cleaned-stage-2
+    type: completion
+    field: text
+    split: train[:500]
+warmup_steps: 20
+shuffle_merged_datasets: true
+sample_packing: true
+pad_to_sequence_len: true
+
+# Batching
+num_epochs: 2
+gradient_accumulation_steps: 1
+micro_batch_size: 1
+eval_batch_size: 1
+
+# Evaluation
+val_set_size: 100
+evals_per_epoch: 10
+eval_table_size:
+eval_max_new_tokens: 256
+eval_sample_packing: false
+
+save_safetensors: true
+
+# WandB
+wandb_project: Intern-Rp-Test
+#wandb_entity:
+
+gradient_checkpointing: 'unsloth'
+gradient_checkpointing_kwargs:
+  use_reentrant: false
+
+unsloth_cross_entropy_loss: true
+#unsloth_lora_mlp: true
+#unsloth_lora_qkv: true
+#unsloth_lora_o: true
+
+# LoRA
+adapter: qlora
+lora_r: 32
+lora_alpha: 64
+lora_dropout: 0.25
+lora_target_linear: true
+lora_target_modules:
+  - gate_proj
+  - down_proj
+  - up_proj
+  - q_proj
+  - v_proj
+  - k_proj
+  - o_proj
+lora_modules_to_save:
+#peft_use_rslora: true
+#loraplus_lr_ratio: 8
+
+# Optimizer
+optimizer: paged_ademamix_8bit
+lr_scheduler: cosine
+learning_rate: 3e-5
+cosine_min_lr_ratio: 0.1
+weight_decay: 0.01
+max_grad_norm: 1.0
+
+# Misc
+train_on_inputs: false
+group_by_length: false
+early_stopping_patience:
+local_rank:
+logging_steps: 1
+xformers_attention:
+#debug:
+deepspeed: /workspace/axolotl/deepspeed_configs/zero3_bf16.json # previously blank
+fsdp:
+fsdp_config:
+
+plugins:
+  - axolotl.integrations.liger.LigerPlugin
+liger_rope: true
+liger_rms_norm: true
+liger_layer_norm: true
+liger_glu_activation: true
+liger_fused_linear_cross_entropy: true
+
+gc_steps: 10
+seed: 69
+```
+
+</details><br>
+
+# intern-rp-lora
+
+This model is a fine-tuned version of [internlm/internlm3-8b-instruct](https://huggingface.co/internlm/internlm3-8b-instruct) on the ToastyPigeon/some-rp, the BeaverAI/cedo-unalignment, the BeaverAI/foundRP, the PocketDoc/Dans-Prosemaxx-Gutenberg, the ToastyPigeon/SpringDragon-Instruct, the allenai/tulu-3-sft-personas-instruction-following and the allura-org/fujin-cleaned-stage-2 datasets.
+It achieves the following results on the evaluation set:
+- Loss: 1.7197
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 3e-05
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 69
+- distributed_type: multi-GPU
+- num_devices: 4
+- total_train_batch_size: 4
+- total_eval_batch_size: 4
+- optimizer: Use OptimizerNames.PAGED_ADEMAMIX_8BIT and the args are:
+No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 20
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 2.2794        | 0.0013 | 1    | 1.8317          |
+| 1.6416        | 0.1    | 75   | 1.7826          |
+| 2.3547        | 0.2    | 150  | 1.7643          |
+| 1.9114        | 0.3    | 225  | 1.7546          |
+| 2.0004        | 0.4    | 300  | 1.7474          |
+| 2.2052        | 0.5    | 375  | 1.7428          |
+| 1.9314        | 0.6    | 450  | 1.7377          |
+| 2.202         | 0.7    | 525  | 1.7350          |
+| 2.2453        | 0.8    | 600  | 1.7303          |
+| 1.8392        | 0.9    | 675  | 1.7283          |
+| 1.7018        | 1.0    | 750  | 1.7271          |
+| 1.9736        | 1.0987 | 825  | 1.7264          |
+| 2.0917        | 1.1987 | 900  | 1.7245          |
+| 1.5679        | 1.2987 | 975  | 1.7239          |
+| 2.0799        | 1.3987 | 1050 | 1.7225          |
+| 1.8398        | 1.4987 | 1125 | 1.7220          |
+| 1.9806        | 1.5987 | 1200 | 1.7211          |
+| 1.7334        | 1.6987 | 1275 | 1.7209          |
+| 2.1457        | 1.7987 | 1350 | 1.7205          |
+| 1.7804        | 1.8987 | 1425 | 1.7202          |
+| 2.1652        | 1.9987 | 1500 | 1.7197          |
 
-## Model Card Contact
 
-[More Information Needed]
 ### Framework versions
 
-- PEFT 0.14.0
+- PEFT 0.14.0
+- Transformers 4.47.1
+- Pytorch 2.5.1+cu124
+- Datasets 3.2.0
+- Tokenizers 0.21.0