Instructions to use VERSIL91/d39c2c44-497a-4263-b4dd-0b4ec14c1b5c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use VERSIL91/d39c2c44-497a-4263-b4dd-0b4ec14c1b5c with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-3B-Instruct") model = PeftModel.from_pretrained(base_model, "VERSIL91/d39c2c44-497a-4263-b4dd-0b4ec14c1b5c") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 26, checkpoint
Browse files
last-checkpoint/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 61392180
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ac63985102279ffa8d294ecfe7b6e61633086bf401baafe29aca3f4aa76aefb4
|
| 3 |
size 61392180
|
last-checkpoint/rng_state.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 14244
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:424d06375131df3df5d4883391c61f995c66d877e893fd245f2c624058954297
|
| 3 |
size 14244
|
last-checkpoint/scheduler.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1064
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:37841e69eda911caeb33edeefa0b2f140e72dcce247aeb757b2fe89c00d7887b
|
| 3 |
size 1064
|
last-checkpoint/trainer_state.json
CHANGED
|
@@ -1,9 +1,9 @@
|
|
| 1 |
{
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
-
"epoch": 0.
|
| 5 |
"eval_steps": 13,
|
| 6 |
-
"global_step":
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
|
@@ -114,6 +114,105 @@
|
|
| 114 |
"eval_samples_per_second": 10.003,
|
| 115 |
"eval_steps_per_second": 5.001,
|
| 116 |
"step": 13
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 117 |
}
|
| 118 |
],
|
| 119 |
"logging_steps": 1,
|
|
@@ -133,7 +232,7 @@
|
|
| 133 |
"attributes": {}
|
| 134 |
}
|
| 135 |
},
|
| 136 |
-
"total_flos":
|
| 137 |
"train_batch_size": 2,
|
| 138 |
"trial_name": null,
|
| 139 |
"trial_params": null
|
|
|
|
| 1 |
{
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 0.0017147002572050385,
|
| 5 |
"eval_steps": 13,
|
| 6 |
+
"global_step": 26,
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
|
|
|
| 114 |
"eval_samples_per_second": 10.003,
|
| 115 |
"eval_steps_per_second": 5.001,
|
| 116 |
"step": 13
|
| 117 |
+
},
|
| 118 |
+
{
|
| 119 |
+
"epoch": 0.0009233001384950207,
|
| 120 |
+
"grad_norm": NaN,
|
| 121 |
+
"learning_rate": 9.755282581475769e-05,
|
| 122 |
+
"loss": 0.0,
|
| 123 |
+
"step": 14
|
| 124 |
+
},
|
| 125 |
+
{
|
| 126 |
+
"epoch": 0.0009892501483875222,
|
| 127 |
+
"grad_norm": NaN,
|
| 128 |
+
"learning_rate": 9.619397662556435e-05,
|
| 129 |
+
"loss": 0.0,
|
| 130 |
+
"step": 15
|
| 131 |
+
},
|
| 132 |
+
{
|
| 133 |
+
"epoch": 0.0010552001582800237,
|
| 134 |
+
"grad_norm": NaN,
|
| 135 |
+
"learning_rate": 9.45503262094184e-05,
|
| 136 |
+
"loss": 0.0,
|
| 137 |
+
"step": 16
|
| 138 |
+
},
|
| 139 |
+
{
|
| 140 |
+
"epoch": 0.0011211501681725252,
|
| 141 |
+
"grad_norm": NaN,
|
| 142 |
+
"learning_rate": 9.263200821770461e-05,
|
| 143 |
+
"loss": 0.0,
|
| 144 |
+
"step": 17
|
| 145 |
+
},
|
| 146 |
+
{
|
| 147 |
+
"epoch": 0.0011871001780650267,
|
| 148 |
+
"grad_norm": NaN,
|
| 149 |
+
"learning_rate": 9.045084971874738e-05,
|
| 150 |
+
"loss": 0.0,
|
| 151 |
+
"step": 18
|
| 152 |
+
},
|
| 153 |
+
{
|
| 154 |
+
"epoch": 0.0012530501879575281,
|
| 155 |
+
"grad_norm": NaN,
|
| 156 |
+
"learning_rate": 8.802029828000156e-05,
|
| 157 |
+
"loss": 0.0,
|
| 158 |
+
"step": 19
|
| 159 |
+
},
|
| 160 |
+
{
|
| 161 |
+
"epoch": 0.0013190001978500296,
|
| 162 |
+
"grad_norm": NaN,
|
| 163 |
+
"learning_rate": 8.535533905932738e-05,
|
| 164 |
+
"loss": 0.0,
|
| 165 |
+
"step": 20
|
| 166 |
+
},
|
| 167 |
+
{
|
| 168 |
+
"epoch": 0.001384950207742531,
|
| 169 |
+
"grad_norm": NaN,
|
| 170 |
+
"learning_rate": 8.247240241650918e-05,
|
| 171 |
+
"loss": 0.0,
|
| 172 |
+
"step": 21
|
| 173 |
+
},
|
| 174 |
+
{
|
| 175 |
+
"epoch": 0.0014509002176350326,
|
| 176 |
+
"grad_norm": NaN,
|
| 177 |
+
"learning_rate": 7.938926261462366e-05,
|
| 178 |
+
"loss": 0.0,
|
| 179 |
+
"step": 22
|
| 180 |
+
},
|
| 181 |
+
{
|
| 182 |
+
"epoch": 0.001516850227527534,
|
| 183 |
+
"grad_norm": NaN,
|
| 184 |
+
"learning_rate": 7.612492823579745e-05,
|
| 185 |
+
"loss": 0.0,
|
| 186 |
+
"step": 23
|
| 187 |
+
},
|
| 188 |
+
{
|
| 189 |
+
"epoch": 0.0015828002374200355,
|
| 190 |
+
"grad_norm": NaN,
|
| 191 |
+
"learning_rate": 7.269952498697734e-05,
|
| 192 |
+
"loss": 0.0,
|
| 193 |
+
"step": 24
|
| 194 |
+
},
|
| 195 |
+
{
|
| 196 |
+
"epoch": 0.001648750247312537,
|
| 197 |
+
"grad_norm": NaN,
|
| 198 |
+
"learning_rate": 6.91341716182545e-05,
|
| 199 |
+
"loss": 0.0,
|
| 200 |
+
"step": 25
|
| 201 |
+
},
|
| 202 |
+
{
|
| 203 |
+
"epoch": 0.0017147002572050385,
|
| 204 |
+
"grad_norm": NaN,
|
| 205 |
+
"learning_rate": 6.545084971874738e-05,
|
| 206 |
+
"loss": 0.0,
|
| 207 |
+
"step": 26
|
| 208 |
+
},
|
| 209 |
+
{
|
| 210 |
+
"epoch": 0.0017147002572050385,
|
| 211 |
+
"eval_loss": NaN,
|
| 212 |
+
"eval_runtime": 2553.7498,
|
| 213 |
+
"eval_samples_per_second": 10.0,
|
| 214 |
+
"eval_steps_per_second": 5.0,
|
| 215 |
+
"step": 26
|
| 216 |
}
|
| 217 |
],
|
| 218 |
"logging_steps": 1,
|
|
|
|
| 232 |
"attributes": {}
|
| 233 |
}
|
| 234 |
},
|
| 235 |
+
"total_flos": 5.73485014277161e+16,
|
| 236 |
"train_batch_size": 2,
|
| 237 |
"trial_name": null,
|
| 238 |
"trial_params": null
|