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# xlm-roberta-base_seed42_esp-kin-eng_train

This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0178
- Spearman Corr: 0.8225

## 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: 2e-05
- train_batch_size: 32
- eval_batch_size: 128
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Spearman Corr |
|:-------------:|:-----:|:----:|:---------------:|:-------------:|
| No log        | 0.6   | 200  | 0.0250          | 0.6871        |
| No log        | 1.21  | 400  | 0.0221          | 0.7217        |
| No log        | 1.81  | 600  | 0.0207          | 0.7428        |
| 0.0392        | 2.42  | 800  | 0.0206          | 0.7573        |
| 0.0392        | 3.02  | 1000 | 0.0204          | 0.7600        |
| 0.0392        | 3.63  | 1200 | 0.0197          | 0.7649        |
| 0.0213        | 4.23  | 1400 | 0.0197          | 0.7752        |
| 0.0213        | 4.83  | 1600 | 0.0197          | 0.7778        |
| 0.0213        | 5.44  | 1800 | 0.0207          | 0.7818        |
| 0.0154        | 6.04  | 2000 | 0.0216          | 0.7770        |
| 0.0154        | 6.65  | 2200 | 0.0180          | 0.7866        |
| 0.0154        | 7.25  | 2400 | 0.0185          | 0.7914        |
| 0.0154        | 7.85  | 2600 | 0.0194          | 0.7973        |
| 0.011         | 8.46  | 2800 | 0.0223          | 0.7969        |
| 0.011         | 9.06  | 3000 | 0.0184          | 0.7974        |
| 0.011         | 9.67  | 3200 | 0.0204          | 0.7991        |
| 0.0083        | 10.27 | 3400 | 0.0179          | 0.8023        |
| 0.0083        | 10.88 | 3600 | 0.0178          | 0.8073        |
| 0.0083        | 11.48 | 3800 | 0.0171          | 0.8063        |
| 0.0065        | 12.08 | 4000 | 0.0189          | 0.8093        |
| 0.0065        | 12.69 | 4200 | 0.0173          | 0.8061        |
| 0.0065        | 13.29 | 4400 | 0.0193          | 0.8090        |
| 0.0065        | 13.9  | 4600 | 0.0182          | 0.8114        |
| 0.0053        | 14.5  | 4800 | 0.0183          | 0.8109        |
| 0.0053        | 15.11 | 5000 | 0.0166          | 0.8132        |
| 0.0053        | 15.71 | 5200 | 0.0174          | 0.8151        |
| 0.0044        | 16.31 | 5400 | 0.0174          | 0.8191        |
| 0.0044        | 16.92 | 5600 | 0.0171          | 0.8192        |
| 0.0044        | 17.52 | 5800 | 0.0177          | 0.8191        |
| 0.0038        | 18.13 | 6000 | 0.0189          | 0.8228        |
| 0.0038        | 18.73 | 6200 | 0.0168          | 0.8200        |
| 0.0038        | 19.34 | 6400 | 0.0166          | 0.8220        |
| 0.0038        | 19.94 | 6600 | 0.0178          | 0.8225        |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1

{"license": "mit", "tags": ["generated_from_trainer"], "base_model": "FacebookAI/xlm-roberta-base", "model-index": [{"name": "xlm-roberta-base_seed42_esp-kin-eng_train", "results": []}]}
transformers safetensors xlm-roberta text-classification generated_from_trainer base_model:FacebookAI/xlm-roberta-base license:mit autotrain_compatible endpoints_compatible region:us