---
library_name: transformers
license: apache-2.0
base_model: maud-dr/model_2_stage2-seed_42
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
model-index:
- name: model_2_stage3-seed_42
  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. -->

# model_2_stage3-seed_42

This model is a fine-tuned version of [maud-dr/model_2_stage2-seed_42](https://huggingface.co/maud-dr/model_2_stage2-seed_42) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8972
- Precision: 0.6325
- Recall: 0.6396
- F1: 0.6361

## 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: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- 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: 15

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Precision | Recall | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|
| 0.4847        | 1.0   | 745   | 0.4469          | 0.7088    | 0.5811 | 0.6386 |
| 0.364         | 2.0   | 1490  | 0.4663          | 0.7057    | 0.5563 | 0.6222 |
| 0.3553        | 3.0   | 2235  | 0.5744          | 0.6390    | 0.6937 | 0.6652 |
| 0.228         | 4.0   | 2980  | 1.1159          | 0.6452    | 0.6104 | 0.6273 |
| 0.1557        | 5.0   | 3725  | 1.3220          | 0.6505    | 0.5450 | 0.5931 |
| 0.1563        | 6.0   | 4470  | 1.1941          | 0.6569    | 0.6081 | 0.6316 |
| 0.0574        | 7.0   | 5215  | 1.2020          | 0.6256    | 0.6396 | 0.6325 |
| 0.0786        | 8.0   | 5960  | 1.6463          | 0.6063    | 0.6486 | 0.6268 |
| 0.0702        | 9.0   | 6705  | 1.4346          | 0.6733    | 0.6126 | 0.6415 |
| 0.0635        | 10.0  | 7450  | 1.6357          | 0.6191    | 0.6554 | 0.6368 |
| 0.0474        | 11.0  | 8195  | 1.7221          | 0.6667    | 0.5676 | 0.6131 |
| 0.0368        | 12.0  | 8940  | 1.7971          | 0.6276    | 0.6149 | 0.6212 |
| 0.0209        | 13.0  | 9685  | 1.8271          | 0.6225    | 0.6351 | 0.6288 |
| 0.0316        | 14.0  | 10430 | 1.8204          | 0.6313    | 0.6171 | 0.6241 |
| 0.0058        | 15.0  | 11175 | 1.8972          | 0.6325    | 0.6396 | 0.6361 |


### Framework versions

- Transformers 4.52.0.dev0
- Pytorch 2.7.0+cu126
- Datasets 3.6.0
- Tokenizers 0.21.1