w2v128b128l
This model is a fine-tuned version of shibing624/text2vec-base-multilingual on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8963
- Accuracy: 0.6528
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: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.1613 | 1.0 | 1407 | 1.0185 | 0.6048 |
| 0.9495 | 2.0 | 2814 | 0.9233 | 0.6422 |
| 0.8848 | 3.0 | 4221 | 0.8963 | 0.6528 |
Framework versions
- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for IvashinMaxim/w2v128b128l
Base model
shibing624/text2vec-base-multilingual