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: openai-community/gpt2
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tags:
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- generated_from_trainer
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model-index:
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- name: MentalRoberta-GPT2_EmpAI_EOSbajo
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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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# MentalRoberta-GPT2_EmpAI_EOSbajo
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This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2970
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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: 4
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- eval_batch_size: 4
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 8
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 8000
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- num_epochs: 3
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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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| 0.3476 | 0.9999 | 5998 | 0.3400 |
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| 0.2941 | 2.0 | 11997 | 0.3041 |
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| 0.2917 | 2.9997 | 17994 | 0.2970 |
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### Framework versions
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- Transformers 4.40.0
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- Pytorch 2.2.1+cu121
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- Datasets 2.19.0
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- Tokenizers 0.19.1
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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": 50256,
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"eos_token_id": 50256,
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"transformers_version": "4.40.0"
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}
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runs/Apr26_20-05-08_7cb2e236bba1/events.out.tfevents.1714173512.7cb2e236bba1.2587.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:300efa311a1a2d120370f42830715f856c400dd047debc4247379540c483517a
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size 364
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