---
library_name: transformers
license: other
base_model: facebook/opt-125m
tags:
- generated_from_trainer
model-index:
- name: gpt2_ACoT
  results: []
---

<!-- 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. -->

# gpt2_ACoT

This model is a fine-tuned version of [facebook/opt-125m](https://huggingface.co/facebook/opt-125m) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9497

## 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: 0.0001
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 21.1265       | 1.0   | 276  | 2.5543          |
| 18.2347       | 2.0   | 552  | 2.2861          |
| 16.8533       | 3.0   | 828  | 2.1435          |
| 15.6224       | 4.0   | 1104 | 2.0605          |
| 14.7096       | 5.0   | 1380 | 2.0051          |
| 14.1231       | 6.0   | 1656 | 1.9733          |
| 13.5673       | 7.0   | 1932 | 1.9566          |
| 13.1727       | 8.0   | 2208 | 1.9493          |
| 13.0597       | 9.0   | 2484 | 1.9492          |
| 12.9195       | 10.0  | 2760 | 1.9497          |


### Framework versions

- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.2