---
license: mit
base_model: gpt2-medium
tags:
- generated_from_keras_callback
model-index:
- name: sannysayril/sayril-fino-330M-llm
  results: []
---

<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->

# sannysayril/sayril-fino-330M-llm

This model is a fine-tuned version of [gpt2-medium](https://huggingface.co/gpt2-medium) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 5.2330
- Validation Loss: 5.4883
- Epoch: 6

## 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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 7.1425     | 6.6402          | 0     |
| 6.3454     | 6.2071          | 1     |
| 5.9872     | 5.9687          | 2     |
| 5.7434     | 5.8056          | 3     |
| 5.5502     | 5.6766          | 4     |
| 5.3831     | 5.5757          | 5     |
| 5.2330     | 5.4883          | 6     |


### Framework versions

- Transformers 4.34.0
- TensorFlow 2.13.0
- Datasets 2.14.5
- Tokenizers 0.14.1