| 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: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # IRL_iter0_best_of_16_spin_iter0_epoch_5_saving | |
| This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/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 | |