metadata
library_name: transformers
license: mit
base_model: agentlans/multilingual-e5-small-aligned-v2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: multilingual-e5-small-aligned-v2-fineweb2hq-vs-c4-classifier-run2
results: []
multilingual-e5-small-aligned-v2-fineweb2hq-vs-c4-classifier-run2
This model is a fine-tuned version of agentlans/multilingual-e5-small-aligned-v2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1983
- Accuracy: 0.9515
- Combined Score: 1.3494
- Num Input Tokens Seen: 122880000
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: 8
- eval_batch_size: 8
- 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
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Combined Score | Input Tokens Seen |
|---|---|---|---|---|---|---|
| 0.1387 | 1.0 | 40000 | 0.1983 | 0.9515 | 1.3494 | 40960000 |
| 0.0682 | 2.0 | 80000 | 0.2264 | 0.9528 | 1.3270 | 81920000 |
| 0.0424 | 3.0 | 120000 | 0.2598 | 0.9552 | 1.2845 | 122880000 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0