BlenderBot_400M_distill_falcon_redefined_first10krows
This model is a fine-tuned version of facebook/blenderbot-400M-distill on the first 10000 rows of the tiiuae/falcon-refinedweb dataset. It achieves the following results on the evaluation set:
- Loss: 3.4093
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: 8
- 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_steps: 500
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.4693 | 1.0 | 1000 | 3.4126 |
| 3.4552 | 2.0 | 2000 | 3.4046 |
| 3.4393 | 3.0 | 3000 | 3.4076 |
| 3.4455 | 4.0 | 4000 | 3.4096 |
| 3.4495 | 5.0 | 5000 | 3.4007 |
| 3.4521 | 6.0 | 6000 | 3.4099 |
| 3.446 | 7.0 | 7000 | 3.4107 |
| 3.4383 | 8.0 | 8000 | 3.4114 |
| 3.4502 | 9.0 | 9000 | 3.4115 |
| 3.4472 | 10.0 | 10000 | 3.4093 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu117
- Datasets 2.13.0
- Tokenizers 0.13.3
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Base model
facebook/blenderbot-400M-distill