fe954987-35ff-4351-9f32-c11aca9eb081
This model is a fine-tuned version of tiiuae/falcon-7b on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.8669
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: 0.0001007
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=adam_beta1=0.9,adam_beta2=0.95,adam_epsilon=1e-5
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- training_steps: 200
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.1102 | 0.0001 | 1 | 2.5862 |
| 2.9572 | 0.0042 | 50 | 2.2165 |
| 3.4976 | 0.0084 | 100 | 2.0390 |
| 3.4945 | 0.0126 | 150 | 1.9016 |
| 3.4449 | 0.0169 | 200 | 1.8669 |
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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Model tree for lesso/fe954987-35ff-4351-9f32-c11aca9eb081
Base model
tiiuae/falcon-7b