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--- |
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base_model: meta-llama/Llama-2-7b-hf |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: sparse_llama_7b_hf2_refined_web_50p_2024-03-27 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# sparse_llama_7b_hf2_refined_web_50p_2024-03-27 |
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This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.0766 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-05 |
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- train_batch_size: 1 |
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- eval_batch_size: 4 |
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- seed: 0 |
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- distributed_type: multi-GPU |
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- num_devices: 4 |
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- gradient_accumulation_steps: 8 |
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- total_train_batch_size: 32 |
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- total_eval_batch_size: 16 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- training_steps: 1100 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.1821 | 0.01 | 25 | 2.2632 | |
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| 2.1824 | 0.02 | 50 | 2.2610 | |
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| 2.2916 | 0.02 | 75 | 2.2561 | |
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| 2.2562 | 0.03 | 100 | 2.2484 | |
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| 2.3387 | 0.04 | 125 | 2.2453 | |
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| 2.1762 | 0.05 | 150 | 2.2402 | |
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| 2.1439 | 0.06 | 175 | 2.2353 | |
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| 2.3081 | 0.06 | 200 | 2.2326 | |
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| 2.268 | 0.07 | 225 | 2.2300 | |
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| 2.2193 | 0.08 | 250 | 2.2303 | |
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| 2.1589 | 0.09 | 275 | 2.2296 | |
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| 2.1932 | 0.1 | 300 | 2.2276 | |
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| 2.2406 | 0.1 | 325 | 2.2271 | |
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| 2.2102 | 0.11 | 350 | 2.2289 | |
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| 2.1311 | 0.12 | 375 | 2.2272 | |
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| 2.2318 | 0.13 | 400 | 2.2269 | |
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| 2.2155 | 0.14 | 425 | 2.2273 | |
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| 2.1799 | 0.14 | 450 | 2.2267 | |
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| 2.252 | 0.15 | 475 | 2.2250 | |
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| 2.2588 | 0.16 | 500 | 2.2262 | |
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| 2.1677 | 0.17 | 525 | 2.2271 | |
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| 2.163 | 0.18 | 550 | 2.2264 | |
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| 2.2783 | 0.18 | 575 | 2.2251 | |
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| 2.1625 | 0.19 | 600 | 2.2253 | |
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| 2.1906 | 0.2 | 625 | 2.2251 | |
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| 2.2748 | 0.21 | 650 | 2.2251 | |
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| 2.171 | 0.22 | 675 | 2.2249 | |
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| 2.1929 | 0.22 | 700 | 2.2252 | |
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| 2.2203 | 0.23 | 725 | 2.2232 | |
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| 2.1143 | 0.24 | 750 | 2.2239 | |
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| 2.1969 | 0.25 | 775 | 2.2230 | |
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| 2.2492 | 0.26 | 800 | 2.2233 | |
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| 2.1988 | 0.26 | 825 | 2.2240 | |
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| 2.1546 | 0.27 | 850 | 2.2245 | |
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| 2.1605 | 0.28 | 875 | 2.2229 | |
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| 2.1417 | 0.29 | 900 | 2.2224 | |
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| 2.3172 | 0.3 | 925 | 2.2247 | |
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| 2.2799 | 0.3 | 950 | 2.2240 | |
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| 2.2258 | 0.31 | 975 | 2.2221 | |
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| 2.1175 | 0.32 | 1000 | 2.2216 | |
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| 2.2314 | 0.33 | 1025 | 2.2227 | |
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| 2.1956 | 0.34 | 1050 | 2.2211 | |
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| 2.1695 | 0.34 | 1075 | 2.2206 | |
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| 2.1658 | 0.35 | 1100 | 2.2207 | |
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### Framework versions |
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- Transformers 4.40.0.dev0 |
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- Pytorch 2.1.1+cu121 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.2 |
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