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--- |
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license: apache-2.0 |
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base_model: PiyushLavaniya/Pythia-410m-1200_steps |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: instruction_finetuned_4000_steps |
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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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# instruction_finetuned_4000_steps |
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This model is a fine-tuned version of [PiyushLavaniya/Pythia-410m-1200_steps](https://huggingface.co/PiyushLavaniya/Pythia-410m-1200_steps) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1724 |
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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: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 4 |
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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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- lr_scheduler_warmup_steps: 1 |
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- training_steps: 4000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.3084 | 0.01 | 120 | 1.2513 | |
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| 1.2838 | 0.02 | 240 | 1.2586 | |
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| 1.6928 | 0.03 | 360 | 1.2545 | |
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| 1.026 | 0.04 | 480 | 1.2530 | |
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| 1.2245 | 0.05 | 600 | 1.2526 | |
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| 1.3283 | 0.06 | 720 | 1.2527 | |
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| 1.1885 | 0.07 | 840 | 1.2428 | |
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| 1.3262 | 0.08 | 960 | 1.2439 | |
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| 1.4632 | 0.09 | 1080 | 1.2399 | |
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| 1.4186 | 0.1 | 1200 | 1.2345 | |
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| 0.9493 | 0.11 | 1320 | 1.2343 | |
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| 1.4698 | 0.12 | 1440 | 1.2253 | |
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| 0.7633 | 0.13 | 1560 | 1.2262 | |
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| 1.1568 | 0.14 | 1680 | 1.2237 | |
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| 1.5223 | 0.15 | 1800 | 1.2190 | |
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| 1.7801 | 0.16 | 1920 | 1.2147 | |
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| 1.2809 | 0.17 | 2040 | 1.2099 | |
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| 1.2552 | 0.18 | 2160 | 1.2073 | |
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| 1.1965 | 0.19 | 2280 | 1.2035 | |
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| 1.205 | 0.21 | 2400 | 1.2026 | |
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| 1.2114 | 0.22 | 2520 | 1.1997 | |
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| 1.344 | 0.23 | 2640 | 1.1945 | |
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| 1.3919 | 0.24 | 2760 | 1.1916 | |
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| 1.4231 | 0.25 | 2880 | 1.1888 | |
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| 1.2136 | 0.26 | 3000 | 1.1859 | |
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| 0.8669 | 0.27 | 3120 | 1.1849 | |
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| 1.3909 | 0.28 | 3240 | 1.1823 | |
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| 1.2214 | 0.29 | 3360 | 1.1801 | |
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| 1.238 | 0.3 | 3480 | 1.1780 | |
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| 1.4586 | 0.31 | 3600 | 1.1757 | |
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| 1.0247 | 0.32 | 3720 | 1.1744 | |
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| 1.0334 | 0.33 | 3840 | 1.1731 | |
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| 1.2078 | 0.34 | 3960 | 1.1724 | |
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### Framework versions |
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- Transformers 4.34.1 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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