library_name: transformers
license: apache-2.0
base_model: alignment-handbook/zephyr-7b-sft-full
tags:
- alignment-handbook
- generated_from_trainer
datasets:
- generator
model-index:
- name: IRL_iter0_best_of_16_spin_iter0_epoch_5_saving
results: []
IRL_iter0_best_of_16_spin_iter0_epoch_5_saving
This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-full on the d, the a, the t, the a, the _, the g, the e, the n, the e, the r, the a, the t, the e, the d, the /, the s, the p, the i, the n, the _, the i, the t, the e, the r, the 0, the _, the b, the e, the s, the t, the _, the o, the f, the _, the 1, the 6, the /, the t, the o, the p, the 1, the _, the s, the e, the l, the e, the c, the t, the e, the d, the _, the I, the R, the L, the _, the r, the e, the w, the a, the r, the d, the _, the s, the e, the l, the e, the c, the t, the e and the d datasets. It achieves the following results on the evaluation set:
- Loss: 0.0396
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: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0895 | 1.0 | 79 | 0.7223 |
| 0.6454 | 2.0 | 158 | 0.3317 |
| 0.2926 | 3.0 | 237 | 0.1293 |
| 0.1048 | 4.0 | 316 | 0.0542 |
| 0.0465 | 5.0 | 395 | 0.0396 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.1.2+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1