metadata
library_name: peft
license: mit
base_model: EleutherAI/gpt-neo-125m
tags:
- axolotl
- generated_from_trainer
model-index:
- name: d34e4a34-c572-46ba-9c48-5f289c08b063
results: []
d34e4a34-c572-46ba-9c48-5f289c08b063
This model is a fine-tuned version of EleutherAI/gpt-neo-125m on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0594
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: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 80
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0002 | 1 | 0.3447 |
| 0.8395 | 0.0087 | 50 | 0.1938 |
| 0.3383 | 0.0173 | 100 | 0.0797 |
| 0.3412 | 0.0260 | 150 | 0.0721 |
| 0.374 | 0.0346 | 200 | 0.0668 |
| 0.1469 | 0.0433 | 250 | 0.0635 |
| 0.2195 | 0.0520 | 300 | 0.0615 |
| 0.4373 | 0.0606 | 350 | 0.0605 |
| 0.1735 | 0.0693 | 400 | 0.0598 |
| 0.1079 | 0.0779 | 450 | 0.0598 |
| 0.1517 | 0.0866 | 500 | 0.0594 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1