---
library_name: transformers
license: other
base_model: facebook/opt-125m
tags:
- generated_from_trainer
model-index:
- name: tcc-football-events-finetune-facebook_opt-125m-10-5k
  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. -->

# tcc-football-events-finetune-facebook_opt-125m-10-5k

This model is a fine-tuned version of [facebook/opt-125m](https://huggingface.co/facebook/opt-125m) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3225

## 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: 42
- 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: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.3321        | 1.0   | 2000  | 0.3188          |
| 0.2959        | 2.0   | 4000  | 0.3005          |
| 0.2913        | 3.0   | 6000  | 0.2870          |
| 0.2752        | 4.0   | 8000  | 0.2825          |
| 0.2585        | 5.0   | 10000 | 0.2835          |
| 0.2372        | 6.0   | 12000 | 0.2878          |
| 0.2201        | 7.0   | 14000 | 0.2959          |
| 0.2012        | 8.0   | 16000 | 0.3044          |
| 0.1801        | 9.0   | 18000 | 0.3155          |
| 0.1616        | 10.0  | 20000 | 0.3225          |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0