---
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Matcha_clips_224_fintuned_5
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Matcha_clips_224_fintuned_5

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5168
- Accuracy: 0.7326

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 1140

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.5414        | 0.1   | 114  | 0.9738          | 0.6628   |
| 0.175         | 1.1   | 228  | 1.3822          | 0.7093   |
| 0.0043        | 2.1   | 342  | 1.1047          | 0.7442   |
| 0.0034        | 3.1   | 456  | 1.4682          | 0.7093   |
| 0.0038        | 4.1   | 570  | 1.4363          | 0.7209   |
| 0.0005        | 5.1   | 684  | 1.4663          | 0.7209   |
| 0.0005        | 6.1   | 798  | 1.4943          | 0.7326   |
| 0.0004        | 7.1   | 912  | 1.5062          | 0.7326   |
| 0.0004        | 8.1   | 1026 | 1.5134          | 0.7326   |
| 0.0004        | 9.1   | 1140 | 1.5168          | 0.7326   |


### Framework versions

- Transformers 4.51.3
- Pytorch 2.3.1+cu121
- Datasets 3.6.0
- Tokenizers 0.21.1