78 lines
2.3 KiB
Markdown
78 lines
2.3 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: cds_o_fr_13
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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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# cds_o_fr_13
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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: 2.9088
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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: 256
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- eval_batch_size: 256
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- seed: 13
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- optimizer: Use adamw_torch_fused 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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- lr_scheduler_warmup_steps: 500
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- num_epochs: 20
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 5.8188 | 1.0 | 145 | 4.1782 |
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| 3.6451 | 2.0 | 290 | 3.4042 |
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| 3.2742 | 3.0 | 435 | 3.1872 |
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| 3.1065 | 4.0 | 580 | 3.0692 |
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| 3.0059 | 5.0 | 725 | 3.0006 |
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| 2.9407 | 6.0 | 870 | 2.9596 |
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| 2.8903 | 7.0 | 1015 | 2.9294 |
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| 2.8492 | 8.0 | 1160 | 2.9076 |
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| 2.8124 | 9.0 | 1305 | 2.8944 |
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| 2.7787 | 10.0 | 1450 | 2.8837 |
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| 2.7466 | 11.0 | 1595 | 2.8761 |
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| 2.7144 | 12.0 | 1740 | 2.8737 |
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| 2.6832 | 13.0 | 1885 | 2.8720 |
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| 2.6516 | 14.0 | 2030 | 2.8742 |
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| 2.6203 | 15.0 | 2175 | 2.8789 |
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| 2.5899 | 16.0 | 2320 | 2.8853 |
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| 2.561 | 17.0 | 2465 | 2.8913 |
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| 2.5336 | 18.0 | 2610 | 2.8993 |
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| 2.5111 | 19.0 | 2755 | 2.9061 |
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| 2.4944 | 20.0 | 2900 | 2.9088 |
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### Framework versions
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- Transformers 4.56.1
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- Pytorch 2.8.0+cu128
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- Datasets 4.0.0
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- Tokenizers 0.22.0
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