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---
license: mit
base_model: DeepESP/gpt2-spanish
tags:
- generated_from_trainer
model-index:
- name: Jose-Saramago
results: []
widget:
- text: "Ayer al despertarme, sentí"
example_title: "Despertar"
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Jose-Saramago
This model is a fine-tuned version of [DeepESP/gpt2-spanish](https://huggingface.co./DeepESP/gpt2-spanish) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 3.5968
- eval_runtime: 17.6249
- eval_samples_per_second: 340.428
- eval_steps_per_second: 42.553
- epoch: 2.0
- step: 6000
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
### Framework versions
- Transformers 4.33.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
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