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# aift-model

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9914
- Accuracy Thresh: 0.9336

## 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: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: tpu
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy Thresh |
|:-------------:|:-----:|:----:|:---------------:|:---------------:|
| No log        | 1.0   | 70   | 0.9565          | 0.8721          |
| No log        | 2.0   | 140  | 0.8502          | 0.8907          |
| No log        | 3.0   | 210  | 0.8939          | 0.9064          |
| No log        | 4.0   | 280  | 0.8814          | 0.9236          |
| No log        | 5.0   | 350  | 0.8374          | 0.9164          |
| No log        | 6.0   | 420  | 0.9718          | 0.9286          |
| No log        | 7.0   | 490  | 0.9207          | 0.9293          |
| 0.5144        | 8.0   | 560  | 0.9008          | 0.9321          |
| 0.5144        | 9.0   | 630  | 0.9761          | 0.9321          |
| 0.5144        | 10.0  | 700  | 0.9914          | 0.9336          |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.0.0+cu118
- Datasets 2.16.1
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "aift-model", "results": []}]}
transformers tensorboard safetensors distilbert text-classification generated_from_trainer base_model:distilbert-base-uncased license:apache-2.0 autotrain_compatible endpoints_compatible region:us