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---
library_name: transformers
base_model: microsoft/infoxlm-base
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: vp-infoxlm-base-dsc
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. -->
# vp-infoxlm-base-dsc
This model is a fine-tuned version of [microsoft/infoxlm-base](https://huggingface.co/microsoft/infoxlm-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4642
- Accuracy: 0.8251
- F1: 0.8249
- Precision: 0.8259
- Recall: 0.8251
## 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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
| 0.9971 | 1.0 | 1590 | 0.8708 | 0.5664 | 0.5565 | 0.6042 | 0.5664 |
| 0.7175 | 2.0 | 3180 | 0.5943 | 0.7631 | 0.7626 | 0.7713 | 0.7631 |
| 0.5942 | 3.0 | 4770 | 0.5007 | 0.8069 | 0.8069 | 0.8075 | 0.8069 |
| 0.4981 | 4.0 | 6360 | 0.4676 | 0.8188 | 0.8182 | 0.8218 | 0.8188 |
| 0.4669 | 5.0 | 7950 | 0.4642 | 0.8251 | 0.8249 | 0.8259 | 0.8251 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0
- Datasets 3.0.0
- Tokenizers 0.19.1
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