72 lines
2.0 KiB
Markdown
72 lines
2.0 KiB
Markdown
---
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library_name: transformers
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base_model: ErikDaska/lr_1e-04-last
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tags:
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- generated_from_trainer
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model-index:
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- name: lr_1e-04-last-sft
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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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# lr_1e-04-last-sft
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This model is a fine-tuned version of [ErikDaska/lr_1e-04-last](https://huggingface.co/ErikDaska/lr_1e-04-last) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7291
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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: 4
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- eval_batch_size: 4
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 32
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- optimizer: Use OptimizerNames.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: cosine
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- lr_scheduler_warmup_steps: 0.03
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- num_epochs: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 0.9824 | 0.4444 | 200 | 0.8604 |
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| 0.9089 | 0.8889 | 400 | 0.8122 |
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| 0.8606 | 1.3333 | 600 | 0.7796 |
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| 0.8538 | 1.7778 | 800 | 0.7631 |
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| 0.8147 | 2.2222 | 1000 | 0.7530 |
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| 0.7895 | 2.6667 | 1200 | 0.7410 |
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| 0.7649 | 3.1111 | 1400 | 0.7358 |
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| 0.7317 | 3.5556 | 1600 | 0.7330 |
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| 0.7863 | 4.0 | 1800 | 0.7292 |
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| 0.7629 | 4.4444 | 2000 | 0.7297 |
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| 0.7229 | 4.8889 | 2200 | 0.7291 |
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| 0.7518 | 5.0 | 2250 | 0.7291 |
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### Framework versions
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- Transformers 5.10.2
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- Pytorch 2.11.0+cu128
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- Datasets 5.0.0
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- Tokenizers 0.22.2
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