End of training
Browse files- README.md +95 -0
- generation_config.json +6 -0
README.md
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---
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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: impossible-llms-english-random-fourgram
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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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# impossible-llms-english-random-fourgram
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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: 4.4904
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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: 12
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- eval_batch_size: 8
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- seed: 0
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- distributed_type: multi-GPU
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- num_devices: 4
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 384
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- total_eval_batch_size: 32
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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: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- training_steps: 3000
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- mixed_precision_training: Native AMP
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- label_smoothing_factor: 0.1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-------:|:----:|:---------------:|
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| 21.2318 | 1.0 | 96 | 7.0318 |
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| 17.3066 | 2.0 | 192 | 5.8019 |
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| 16.9078 | 3.0 | 288 | 5.6130 |
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| 16.3046 | 4.0 | 384 | 5.3811 |
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| 15.7736 | 5.0 | 480 | 5.1867 |
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| 15.2597 | 6.0 | 576 | 5.0483 |
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| 14.9974 | 7.0 | 672 | 4.9447 |
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| 14.6845 | 8.0 | 768 | 4.8589 |
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| 14.5313 | 9.0 | 864 | 4.7952 |
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| 14.425 | 10.0 | 960 | 4.7419 |
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| 14.09 | 11.0 | 1056 | 4.6954 |
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| 13.959 | 12.0 | 1152 | 4.6586 |
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| 13.9513 | 13.0 | 1248 | 4.6308 |
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| 13.7675 | 14.0 | 1344 | 4.6051 |
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| 13.6601 | 15.0 | 1440 | 4.5844 |
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| 13.5687 | 16.0 | 1536 | 4.5667 |
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| 13.5257 | 17.0 | 1632 | 4.5534 |
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| 13.4789 | 18.0 | 1728 | 4.5398 |
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| 13.4417 | 19.0 | 1824 | 4.5290 |
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| 13.3908 | 20.0 | 1920 | 4.5210 |
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| 13.307 | 21.0 | 2016 | 4.5132 |
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| 13.3016 | 22.0 | 2112 | 4.5081 |
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| 13.2893 | 23.0 | 2208 | 4.5023 |
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| 13.2032 | 24.0 | 2304 | 4.4990 |
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| 13.1012 | 25.0 | 2400 | 4.4962 |
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| 13.1562 | 26.0 | 2496 | 4.4939 |
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| 12.9843 | 27.0 | 2592 | 4.4923 |
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| 13.0885 | 28.0 | 2688 | 4.4913 |
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| 13.0813 | 29.0 | 2784 | 4.4908 |
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| 13.1086 | 30.0 | 2880 | 4.4904 |
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| 13.1765 | 31.0 | 2976 | 4.4904 |
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| 34.9023 | 31.2516 | 3000 | 4.4904 |
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### Framework versions
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- Transformers 4.49.0
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- Pytorch 2.4.0+cu121
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- Datasets 3.4.0
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- Tokenizers 0.21.0
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 0,
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"eos_token_id": 0,
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"transformers_version": "4.49.0"
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}
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