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MRR_QA_15K_FINETUNED_ON_RANDOM_DATA
This model is a fine-tuned version of am-infoweb/MRR_QA_15K_UNTIL_2_08_FINRTUNED_ON_21_7_MODEL on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0000
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: 2e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0336 | 1.0 | 2248 | 0.0002 |
| 0.0 | 2.0 | 4496 | 0.0000 |
| 0.0004 | 3.0 | 6744 | 0.0000 |
| 0.0002 | 4.0 | 8992 | 0.0000 |
| 0.0 | 5.0 | 11240 | 0.0000 |
| 0.0 | 6.0 | 13488 | 0.0000 |
| 0.0 | 7.0 | 15736 | 0.0003 |
| 0.0012 | 8.0 | 17984 | 0.0000 |
| 0.0 | 9.0 | 20232 | 0.0000 |
| 0.0 | 10.0 | 22480 | 0.0000 |
Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3
