End of training
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README.md
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---
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license: mit
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base_model: FacebookAI/roberta-base
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tags:
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- generated_from_trainer
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model-index:
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- name: RoBERTa_EmpAI_FineTuned
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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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# RoBERTa_EmpAI_FineTuned
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This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0707
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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: 1e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 64
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_steps: 1000
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- num_epochs: 10
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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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| No log | 1.0 | 483 | 7.4258 |
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| 12.6437 | 2.0 | 967 | 2.1112 |
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| 4.9019 | 3.0 | 1450 | 0.0872 |
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| 0.4036 | 4.0 | 1934 | 0.0765 |
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| 0.0802 | 4.99 | 2415 | 0.0754 |
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| 0.0737 | 6.0 | 2898 | 0.0708 |
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| 0.0749 | 7.0 | 3382 | 0.0705 |
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| 0.0712 | 8.0 | 3865 | 0.0702 |
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| 0.0708 | 9.0 | 4349 | 0.0692 |
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| 0.0698 | 9.99 | 4830 | 0.0696 |
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### Framework versions
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- Transformers 4.38.2
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- Pytorch 2.2.1+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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runs/Apr02_07-12-06_cddba71158cf/events.out.tfevents.1712048727.cddba71158cf.1161.3
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version https://git-lfs.github.com/spec/v1
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oid sha256:380d0d2ccfa24cda66f2d5d5fb290007b70c041dfb2b4392a6d3b7841fc396c9
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size 359
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