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--- |
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license: apache-2.0 |
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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: mt5-small-codesearchnet-python3 |
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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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# mt5-small-codesearchnet-python3 |
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 13.1295 |
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- Rouge1: 0.0367 |
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- Rouge2: 0.0116 |
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- Avg Length: 17.0986 |
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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: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 256 |
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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 | Avg Length | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:----------:| |
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| No log | 1.0 | 39 | 49.9618 | 0.0214 | 0.0051 | 4.6036 | |
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| No log | 2.0 | 78 | 43.5835 | 0.0341 | 0.0112 | 6.5946 | |
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| No log | 3.0 | 117 | 33.6272 | 0.0633 | 0.0288 | 11.0158 | |
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| No log | 3.99 | 156 | 23.0445 | 0.0899 | 0.0444 | 13.4518 | |
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| No log | 4.99 | 195 | 13.1295 | 0.0367 | 0.0116 | 17.0986 | |
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### Framework versions |
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- Transformers 4.28.1 |
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- Pytorch 2.0.0+cu118 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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