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--- |
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library_name: transformers |
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license: mit |
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base_model: EleutherAI/gpt-neo-125M |
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tags: |
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- generated_from_trainer |
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metrics: |
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- rouge |
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model-index: |
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- name: MD5_gpt_neo_sanity_v1.0.1 |
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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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# MD5_gpt_neo_sanity_v1.0.1 |
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This model is a fine-tuned version of [EleutherAI/gpt-neo-125M](https://huggingface.co/EleutherAI/gpt-neo-125M) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5127 |
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- Rouge1: 0.4956 |
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- Rouge2: 0.3272 |
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- Rougel: 0.4733 |
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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: 2e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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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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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | |
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|:-------------:|:------:|:----:|:---------------:|:------:|:------:|:------:| |
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| No log | 0.9935 | 77 | 0.3877 | 0.488 | 0.3501 | 0.488 | |
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| No log | 2.0 | 155 | 0.4174 | 0.4879 | 0.3282 | 0.4719 | |
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| No log | 2.9935 | 232 | 0.4750 | 0.4995 | 0.3211 | 0.4727 | |
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| No log | 4.0 | 310 | 0.5073 | 0.4948 | 0.3268 | 0.4726 | |
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| No log | 4.9677 | 385 | 0.5127 | 0.4956 | 0.3272 | 0.4733 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.5.0+cu121 |
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- Datasets 2.14.4 |
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- Tokenizers 0.19.1 |
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