metadata
license: mit
base_model: Ganz00/redit_gpt
tags:
- generated_from_trainer
model-index:
- name: redit_gpt_finetuned_chat
results: []
redit_gpt_finetuned_chat
This model is a fine-tuned version of Ganz00/redit_gpt on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7279
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 85 | 1.5043 |
| No log | 2.0 | 170 | 0.8985 |
| No log | 3.0 | 255 | 0.7279 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1