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# CuATR-falcon7b-v1

This model is a fine-tuned version of [tiiuae/falcon-7b](https://huggingface.co/tiiuae/falcon-7b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.0246
- Accuracy: 0.5
- F1: 0.6667

## 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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 3.8889        | 0.92  | 3    | 3.0637          | 0.5      | 0.6667 |
| 5.8673        | 1.85  | 6    | 3.0774          | 0.5      | 0.6667 |
| 3.9181        | 2.77  | 9    | 3.0334          | 0.5      | 0.6667 |
| 3.8567        | 4.0   | 13   | 3.0286          | 0.5      | 0.6667 |
| 1.9671        | 4.92  | 16   | 3.0071          | 0.5      | 0.6667 |
| 1.9456        | 5.85  | 19   | 3.0315          | 0.5      | 0.6667 |
| 5.8213        | 6.46  | 21   | 3.0246          | 0.5      | 0.6667 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy", "f1"], "base_model": "tiiuae/falcon-7b", "model-index": [{"name": "CuATR-falcon7b-v1", "results": []}]}
transformers safetensors falcon text-generation generated_from_trainer custom_code base_model:tiiuae/falcon-7b license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us