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: microsoft/DialoGPT-small
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tags:
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- generated_from_trainer
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model-index:
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- name: DialoGPT_EmpAI_smallPrueba2
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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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# DialoGPT_EmpAI_smallPrueba2
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This model is a fine-tuned version of [microsoft/DialoGPT-small](https://huggingface.co/microsoft/DialoGPT-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.7999
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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 | 3.5303 |
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| 5.2957 | 2.0 | 967 | 3.1013 |
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| 3.4534 | 3.0 | 1450 | 2.9551 |
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| 3.1442 | 4.0 | 1934 | 2.8904 |
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| 3.0052 | 5.0 | 2417 | 2.8491 |
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| 2.9176 | 6.0 | 2901 | 2.8253 |
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| 2.8624 | 7.0 | 3384 | 2.8110 |
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| 2.8284 | 8.0 | 3868 | 2.8027 |
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| 2.8079 | 9.0 | 4351 | 2.8005 |
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| 2.8005 | 9.99 | 4830 | 2.7999 |
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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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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": "4.38.2"
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}
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runs/Apr03_21-59-02_cdaaa872347b/events.out.tfevents.1712181557.cdaaa872347b.3205.0
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runs/Apr03_21-59-02_cdaaa872347b/events.out.tfevents.1712188902.cdaaa872347b.3205.1
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