| ---
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| library_name: transformers
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| license: apache-2.0
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| base_model: clui/fine2
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| tags:
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| - generated_from_trainer
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| metrics:
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| - bleu
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| model-index:
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| - name: fine3
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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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|
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| # fine3
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| This model is a fine-tuned version of [clui/fine2](https://huggingface.co/clui/fine2) on the None dataset.
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| It achieves the following results on the evaluation set:
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| - Loss: 1.2159
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| - Bleu: 14.3787
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| - Gen Len: 46.7062
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|
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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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|
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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: 64
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| - eval_batch_size: 16
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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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| - num_epochs: 5
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| - mixed_precision_training: Native AMP
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|
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| ### Training results
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| | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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| |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
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| | 1.3767 | 1.0 | 2133 | 1.2394 | 14.0964 | 46.4002 |
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| | 1.3309 | 2.0 | 4266 | 1.2291 | 14.1811 | 46.4653 |
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| | 1.2996 | 3.0 | 6399 | 1.2227 | 14.3077 | 46.6912 |
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| | 1.2717 | 4.0 | 8532 | 1.2169 | 14.3494 | 46.75 |
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| | 1.2582 | 5.0 | 10665 | 1.2159 | 14.3787 | 46.7062 |
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| ### Framework versions
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| - Transformers 4.48.0
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| - Pytorch 2.4.0
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| - Datasets 2.19.1
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| - Tokenizers 0.21.0
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