transformers safetensors bert generated_from_trainer base_model:haryoaw/scenario-TCR-data-glue-rte-model-bert-base-uncased license:apache-2.0 endpoints_compatible region:us
---
license: apache-2.0
base_model: haryoaw/scenario-TCR-data-glue-rte-model-bert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: scenario-KD-POST-DIV2-data-glue-mrpc-model-haryoaw-scenario-TCR-data-glue-rte-mo
  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-mrpc-model-haryoaw-scenario-TCR-data-glue-rte-mo

This model is a fine-tuned version of [haryoaw/scenario-TCR-data-glue-rte-model-bert-base-uncased](https://huggingface.co/haryoaw/scenario-TCR-data-glue-rte-model-bert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 7.0182
- Accuracy: 0.3015

## 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: 42
- 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 | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 115  | 6.8275          | 0.3088   |
| No log        | 2.0   | 230  | 6.9204          | 0.3015   |
| No log        | 3.0   | 345  | 6.8618          | 0.2843   |
| No log        | 4.0   | 460  | 6.7513          | 0.2647   |
| 5.4402        | 5.0   | 575  | 7.4593          | 0.3039   |
| 5.4402        | 6.0   | 690  | 7.0182          | 0.3015   |


### Framework versions

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