68 lines
1.8 KiB
Markdown
68 lines
1.8 KiB
Markdown
---
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library_name: transformers
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tags:
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- generated_from_trainer
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model-index:
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- name: eng1-large
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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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# eng1-large
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.6418
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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: 0.0001
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- train_batch_size: 16
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 64
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- optimizer: Use 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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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 3.4203 | 1.0 | 2955 | 3.3579 |
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| 2.9849 | 2.0 | 5910 | 2.9797 |
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| 2.7942 | 3.0 | 8865 | 2.8564 |
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| 2.7439 | 4.0 | 11820 | 2.7862 |
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| 2.7095 | 5.0 | 14775 | 2.7377 |
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| 2.7316 | 6.0 | 17730 | 2.7029 |
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| 2.6551 | 7.0 | 20685 | 2.6778 |
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| 2.6195 | 8.0 | 23640 | 2.6603 |
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| 2.5955 | 9.0 | 26595 | 2.6479 |
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| 2.5775 | 10.0 | 29550 | 2.6418 |
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### Framework versions
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- Transformers 4.53.0
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- Pytorch 2.4.1+cu121
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- Datasets 2.14.7
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- Tokenizers 0.21.0
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