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# xlm-roberta-base_seed42_amh-hau-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: 0.0233
- Spearman Corr: 0.7915

## 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        | 0.58  | 200  | 0.0265          | 0.7094        |
| No log        | 1.15  | 400  | 0.0234          | 0.7443        |
| No log        | 1.73  | 600  | 0.0226          | 0.7564        |
| 0.0414        | 2.3   | 800  | 0.0235          | 0.7743        |
| 0.0414        | 2.88  | 1000 | 0.0241          | 0.7786        |
| 0.0414        | 3.45  | 1200 | 0.0261          | 0.7746        |
| 0.0231        | 4.03  | 1400 | 0.0276          | 0.7886        |
| 0.0231        | 4.6   | 1600 | 0.0223          | 0.7825        |
| 0.0231        | 5.18  | 1800 | 0.0216          | 0.7825        |
| 0.0231        | 5.76  | 2000 | 0.0231          | 0.7854        |
| 0.0165        | 6.33  | 2200 | 0.0204          | 0.7934        |
| 0.0165        | 6.91  | 2400 | 0.0227          | 0.7886        |
| 0.0165        | 7.48  | 2600 | 0.0220          | 0.7873        |
| 0.0121        | 8.06  | 2800 | 0.0220          | 0.7827        |
| 0.0121        | 8.63  | 3000 | 0.0222          | 0.7909        |
| 0.0121        | 9.21  | 3200 | 0.0218          | 0.7933        |
| 0.0121        | 9.78  | 3400 | 0.0233          | 0.7932        |
| 0.0092        | 10.36 | 3600 | 0.0224          | 0.7931        |
| 0.0092        | 10.94 | 3800 | 0.0233          | 0.7915        |


### 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_amh-hau-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