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## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

More information needed

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-5
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 5    | 1.847501        | 0.260870 |
| 1.9354        | 2.0   | 10   | 1.729485        | 0.333333 |
| 1.9354        | 3.0   | 15   | 1.681863        | 0.391304 |


### Framework versions

- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
1_polyethylene_pet 2_high_density_polyethylene_pe-hd 3_polyvinylchloride_pvc 4_low_density_polyethylene_pe-ld 5_polypropylene_pp 6_polystyrene_ps 7_other_resins 8_no_plastic