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--- |
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library_name: transformers |
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base_model: bowphs/pythia-70m-multi |
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tags: |
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- generated_from_trainer |
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datasets: |
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- allenai/c4 |
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metrics: |
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- accuracy |
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model-index: |
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- name: c4-model |
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results: |
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- task: |
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name: Causal Language Modeling |
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type: text-generation |
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dataset: |
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name: allenai/c4 en |
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type: allenai/c4 |
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args: en |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.3716248289345064 |
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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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# c4-model |
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This model is a fine-tuned version of [bowphs/pythia-70m-multi](https://huggingface.co/bowphs/pythia-70m-multi) on the allenai/c4 en dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.5532 |
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- Accuracy: 0.3716 |
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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: 5e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- training_steps: 30000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:------:|:-----:|:---------------:|:--------:| |
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| No log | 0.0000 | 1 | 10.7029 | 0.0164 | |
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| No log | 0.0001 | 2 | 10.5331 | 0.0496 | |
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| No log | 0.0001 | 4 | 10.3022 | 0.0533 | |
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| No log | 0.0003 | 8 | 10.0235 | 0.0536 | |
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| No log | 0.0005 | 16 | 9.6536 | 0.0635 | |
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| No log | 0.0011 | 32 | 9.0284 | 0.0759 | |
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| No log | 0.0021 | 64 | 8.0249 | 0.0832 | |
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| No log | 0.0043 | 128 | 6.9172 | 0.1129 | |
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| No log | 0.0085 | 256 | 6.1629 | 0.1558 | |
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| No log | 0.0171 | 512 | 5.5805 | 0.1817 | |
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| No log | 0.0341 | 1024 | 5.1235 | 0.2028 | |
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| 5.4529 | 0.0667 | 2000 | 4.7613 | 0.2264 | |
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| 5.4529 | 0.0683 | 2048 | 4.7481 | 0.2281 | |
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| 4.5765 | 0.1333 | 4000 | 4.4123 | 0.2610 | |
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| 4.5765 | 0.1365 | 4096 | 4.4043 | 0.2625 | |
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| 4.3252 | 0.2 | 6000 | 4.2221 | 0.2827 | |
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| 4.146 | 0.2667 | 8000 | 4.0350 | 0.3098 | |
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| 4.146 | 0.2731 | 8192 | 4.0134 | 0.3129 | |
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| 3.9652 | 0.3333 | 10000 | 3.8860 | 0.3304 | |
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| 3.8441 | 0.4 | 12000 | 3.8005 | 0.3418 | |
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| 3.7739 | 0.4667 | 14000 | 3.7315 | 0.3503 | |
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| 3.72 | 0.5333 | 16000 | 3.6880 | 0.3553 | |
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| 3.72 | 0.5461 | 16384 | 3.6777 | 0.3564 | |
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| 3.6718 | 0.6 | 18000 | 3.6533 | 0.3593 | |
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| 3.6527 | 0.6667 | 20000 | 3.6212 | 0.3633 | |
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| 3.6201 | 0.7333 | 22000 | 3.5985 | 0.3660 | |
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| 3.593 | 0.8 | 24000 | 3.5819 | 0.3679 | |
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| 3.5857 | 0.8667 | 26000 | 3.5683 | 0.3697 | |
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| 3.5801 | 0.9333 | 28000 | 3.5582 | 0.3711 | |
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| 3.5649 | 1.0 | 30000 | 3.5532 | 0.3716 | |
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### Framework versions |
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- Transformers 4.48.0.dev0 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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