---
license: apache-2.0
tags:
- generated_from_keras_callback
model-index:
- name: watson-cerebras
  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. -->

# watson-cerebras

This model is a fine-tuned version of [cerebras/Cerebras-GPT-111M](https://huggingface.co./cerebras/Cerebras-GPT-111M) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.4660
- Validation Loss: 5.9842
- Epoch: 9

## 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 |
|:----------:|:---------------:|:-----:|
| 1.9574     | 4.6971          | 0     |
| 1.4977     | 4.9437          | 1     |
| 1.1154     | 5.1888          | 2     |
| 0.8291     | 5.4171          | 3     |
| 0.6540     | 5.5523          | 4     |
| 0.5654     | 5.6664          | 5     |
| 0.5230     | 5.7875          | 6     |
| 0.4976     | 5.8304          | 7     |
| 0.4838     | 5.8645          | 8     |
| 0.4660     | 5.9842          | 9     |


### Framework versions

- Transformers 4.30.2
- TensorFlow 2.12.0
- Datasets 2.13.1
- Tokenizers 0.13.3