af9769e7-5e28-44c1-bcba-87b9161ed61e
This model is a fine-tuned version of katuni4ka/tiny-random-falcon-40b on the None dataset. It achieves the following results on the evaluation set:
- Loss: 10.7443
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: 0.00021
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 50
- training_steps: 400
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0016 | 1 | 11.1052 |
| 43.6411 | 0.0793 | 50 | 10.8379 |
| 43.3074 | 0.1587 | 100 | 10.8161 |
| 43.2341 | 0.2380 | 150 | 10.7993 |
| 43.1969 | 0.3173 | 200 | 10.7885 |
| 43.1431 | 0.3967 | 250 | 10.7760 |
| 43.1063 | 0.4760 | 300 | 10.7653 |
| 43.0422 | 0.5553 | 350 | 10.7560 |
| 43.0102 | 0.6347 | 400 | 10.7443 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
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Base model
katuni4ka/tiny-random-falcon-40b