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

This model is a fine-tuned version of [haryoaw/scenario-TCR-data-glue-qqp-model-bert-base-uncased](https://huggingface.co/haryoaw/scenario-TCR-data-glue-qqp-model-bert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0877
- Accuracy: 0.8971

## 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: 16
- eval_batch_size: 32
- seed: 45
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.2943        | 0.18  | 2000  | 1.5429          | 0.8727   |
| 1.1578        | 0.35  | 4000  | 1.4492          | 0.8769   |
| 1.1247        | 0.53  | 6000  | 1.3050          | 0.8818   |
| 1.1259        | 0.7   | 8000  | 1.3576          | 0.8858   |
| 1.0431        | 0.88  | 10000 | 1.6260          | 0.8831   |
| 0.8032        | 1.06  | 12000 | 1.3582          | 0.8860   |
| 0.8164        | 1.23  | 14000 | 1.2729          | 0.8893   |
| 0.8074        | 1.41  | 16000 | 1.3927          | 0.8880   |
| 0.8267        | 1.58  | 18000 | 1.2144          | 0.8899   |
| 0.8258        | 1.76  | 20000 | 1.3213          | 0.8885   |
| 0.8058        | 1.93  | 22000 | 1.1999          | 0.8896   |
| 0.6626        | 2.11  | 24000 | 1.2057          | 0.8904   |
| 0.6567        | 2.29  | 26000 | 1.1873          | 0.8891   |
| 0.6792        | 2.46  | 28000 | 1.2089          | 0.8875   |
| 0.6621        | 2.64  | 30000 | 1.1367          | 0.8916   |
| 0.7018        | 2.81  | 32000 | 1.2262          | 0.8919   |
| 0.6774        | 2.99  | 34000 | 1.4311          | 0.8893   |
| 0.584         | 3.17  | 36000 | 1.1628          | 0.8913   |
| 0.6032        | 3.34  | 38000 | 1.2584          | 0.8925   |
| 0.6059        | 3.52  | 40000 | 1.2371          | 0.8923   |
| 0.5766        | 3.69  | 42000 | 1.1755          | 0.8931   |
| 0.6163        | 3.87  | 44000 | 1.2488          | 0.8936   |
| 0.5294        | 4.05  | 46000 | 1.1630          | 0.8941   |
| 0.5182        | 4.22  | 48000 | 1.1357          | 0.8935   |
| 0.5549        | 4.4   | 50000 | 1.2206          | 0.8951   |
| 0.5515        | 4.57  | 52000 | 1.1063          | 0.8950   |
| 0.5305        | 4.75  | 54000 | 1.1900          | 0.8935   |
| 0.5677        | 4.93  | 56000 | 1.1557          | 0.8952   |
| 0.4849        | 5.1   | 58000 | 1.1976          | 0.8948   |
| 0.4971        | 5.28  | 60000 | 1.0942          | 0.8942   |
| 0.5087        | 5.45  | 62000 | 1.1950          | 0.8952   |
| 0.4955        | 5.63  | 64000 | 1.1043          | 0.8953   |
| 0.5033        | 5.8   | 66000 | 1.1831          | 0.8947   |
| 0.5143        | 5.98  | 68000 | 1.1318          | 0.8930   |
| 0.4618        | 6.16  | 70000 | 1.1565          | 0.8973   |
| 0.4708        | 6.33  | 72000 | 1.1111          | 0.8965   |
| 0.466         | 6.51  | 74000 | 1.1354          | 0.8951   |
| 0.4583        | 6.68  | 76000 | 1.1403          | 0.8956   |
| 0.4872        | 6.86  | 78000 | 1.2771          | 0.8942   |
| 0.4467        | 7.04  | 80000 | 1.0877          | 0.8971   |


### Framework versions

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