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# mmlw-retrieval-roberta-large-ft-1

This model is a fine-tuned version of [sdadas/mmlw-retrieval-roberta-large](https://huggingface.co/sdadas/mmlw-retrieval-roberta-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3866

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.0144        | 1.0   | 1250 | 0.9366          |
| 0.4727        | 2.0   | 2500 | 1.0235          |
| 0.4262        | 3.0   | 3750 | 1.0955          |
| 0.192         | 4.0   | 5000 | 1.1747          |
| 0.0798        | 5.0   | 6250 | 1.3866          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "sdadas/mmlw-retrieval-roberta-large", "model-index": [{"name": "mmlw-retrieval-roberta-large-ft-1", "results": []}]}
transformers tensorboard safetensors roberta text-classification generated_from_trainer base_model:sdadas/mmlw-retrieval-roberta-large license:apache-2.0 autotrain_compatible endpoints_compatible region:us