metadata
library_name: peft
license: apache-2.0
base_model: echarlaix/tiny-random-PhiForCausalLM
tags:
- axolotl
- generated_from_trainer
model-index:
- name: 4e2c54f8-7607-497c-9029-0fd55daa3598
results: []
4e2c54f8-7607-497c-9029-0fd55daa3598
This model is a fine-tuned version of echarlaix/tiny-random-PhiForCausalLM on the None dataset. It achieves the following results on the evaluation set:
- Loss: 6.8322
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: 0.000202
- 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: 310
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0097 | 1 | 6.9341 |
| 6.9004 | 0.4843 | 50 | 6.8755 |
| 6.866 | 0.9685 | 100 | 6.8579 |
| 6.9608 | 1.4528 | 150 | 6.8503 |
| 6.8475 | 1.9370 | 200 | 6.8437 |
| 6.9513 | 2.4213 | 250 | 6.8380 |
| 6.8392 | 2.9056 | 300 | 6.8322 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1