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---
library_name: transformers
license: mit
base_model: intfloat/multilingual-e5-base
tags:
- generated_from_trainer
model-index:
- name: fine-tuned-e5_v2
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. -->
# fine-tuned-e5_v2
This model is a fine-tuned version of [intfloat/multilingual-e5-base](https://huggingface.co/intfloat/multilingual-e5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0074
## 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: 16
- seed: 42
- optimizer: Use 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_steps: 500
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.0284 | 1.0 | 3944 | 0.0180 |
| 0.001 | 2.0 | 7888 | 0.0245 |
| 0.0007 | 3.0 | 11832 | 0.0268 |
| 0.002 | 4.0 | 15776 | 0.0227 |
| 0.0006 | 5.0 | 19720 | 0.0131 |
| 0.0008 | 6.0 | 23664 | 0.0108 |
| 0.0006 | 7.0 | 27608 | 0.0084 |
| 0.0001 | 8.0 | 31552 | 0.0105 |
| 0.0001 | 9.0 | 35496 | 0.0089 |
| 0.0 | 10.0 | 39440 | 0.0074 |
### Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+rocm6.2
- Datasets 3.2.0
- Tokenizers 0.21.0
|