transformers safetensors bert generated_from_trainer base_model:haryoaw/scenario-TCR-data-glue-cola-model-bert-base-uncased license:apache-2.0 endpoints_compatible region:us
---
license: apache-2.0
base_model: haryoaw/scenario-TCR-data-glue-cola-model-bert-base-uncased
tags:
- generated_from_trainer
metrics:
- matthews_correlation
model-index:
- name: scenario-KD-POST-DIV2-data-glue-cola-model-haryoaw-scenario-TCR-data-glue-cola-m
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# scenario-KD-POST-DIV2-data-glue-cola-model-haryoaw-scenario-TCR-data-glue-cola-m

This model is a fine-tuned version of [haryoaw/scenario-TCR-data-glue-cola-model-bert-base-uncased](https://huggingface.co/haryoaw/scenario-TCR-data-glue-cola-model-bert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4529
- Matthews Correlation: 0.4198

## 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: 32
- eval_batch_size: 32
- seed: 45
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6969

### Training results

| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
| No log        | 1.0   | 268  | 1.5174          | 0.3812               |
| 1.3188        | 2.0   | 536  | 1.4888          | 0.4121               |
| 1.3188        | 3.0   | 804  | 1.4633          | 0.3526               |
| 0.6524        | 4.0   | 1072 | 1.3907          | 0.4103               |
| 0.6524        | 5.0   | 1340 | 1.4335          | 0.4105               |
| 0.5122        | 6.0   | 1608 | 1.4470          | 0.4292               |
| 0.5122        | 7.0   | 1876 | 1.4954          | 0.3857               |
| 0.4359        | 8.0   | 2144 | 1.3475          | 0.4518               |
| 0.4359        | 9.0   | 2412 | 1.4940          | 0.4449               |
| 0.3885        | 10.0  | 2680 | 1.4089          | 0.4074               |
| 0.3885        | 11.0  | 2948 | 1.4417          | 0.4159               |
| 0.362         | 12.0  | 3216 | 1.4274          | 0.4356               |
| 0.362         | 13.0  | 3484 | 1.4529          | 0.4198               |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2
- Datasets 2.16.0
- Tokenizers 0.15.0
