---
tags:
- generated_from_trainer
metrics:
- recall
model-index:
- name: checkpoint-126-5ep3bsframed
  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. -->

# checkpoint-126-5ep3bsframed

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0647
- Recall: 1.0

## 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: 3
- eval_batch_size: 3
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 485

### Training results

| Training Loss | Epoch | Step | Validation Loss | Recall |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.0083        | 0.2   | 97   | 1.7627          | 0.3385 |
| 0.0055        | 1.2   | 194  | 0.4448          | 0.8    |
| 0.1623        | 2.2   | 291  | 0.1197          | 0.9692 |
| 0.2048        | 3.2   | 388  | 0.0725          | 1.0    |
| 0.0003        | 4.2   | 485  | 0.0647          | 1.0    |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.2.0+cu118
- Datasets 2.17.0
- Tokenizers 0.15.2