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---
license: mit
base_model: microsoft/xclip-base-patch32
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: xclip-base-patch32-finetuned-SLT-subset
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# xclip-base-patch32-finetuned-SLT-subset
This model is a fine-tuned version of [microsoft/xclip-base-patch32](https://huggingface.co/microsoft/xclip-base-patch32) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.2063
- Accuracy: 0.05
## 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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 80
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 5.3738 | 0.25 | 20 | 3.2214 | 0.05 |
| 4.0026 | 1.25 | 40 | 3.1167 | 0.05 |
| 3.3822 | 2.25 | 60 | 3.0319 | 0.05 |
| 3.1538 | 3.25 | 80 | 3.0141 | 0.05 |
### Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
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