File size: 3,420 Bytes
6e9eeeb |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 |
---
license: mit
base_model: HuggingFaceH4/zephyr-7b-beta
tags:
- generated_from_trainer
model-index:
- name: models
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. -->
# models
This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7368
## 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: 0.0004
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 40
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.9828 | 0.02 | 1 | 1.0330 |
| 1.1538 | 0.03 | 2 | 1.0256 |
| 0.9734 | 0.05 | 3 | 1.0120 |
| 1.0574 | 0.07 | 4 | 0.9942 |
| 0.9797 | 0.09 | 5 | 0.9755 |
| 0.9399 | 0.1 | 6 | 0.9580 |
| 1.0294 | 0.12 | 7 | 0.9434 |
| 0.7965 | 0.14 | 8 | 0.9318 |
| 0.7741 | 0.16 | 9 | 0.9236 |
| 0.8252 | 0.17 | 10 | 0.9178 |
| 0.8478 | 0.19 | 11 | 0.9135 |
| 0.9641 | 0.21 | 12 | 0.9068 |
| 0.9073 | 0.22 | 13 | 0.8980 |
| 0.9682 | 0.24 | 14 | 0.8877 |
| 0.8794 | 0.26 | 15 | 0.8774 |
| 0.7602 | 0.28 | 16 | 0.8690 |
| 0.9019 | 0.29 | 17 | 0.8611 |
| 0.8619 | 0.31 | 18 | 0.8547 |
| 0.8195 | 0.33 | 19 | 0.8484 |
| 0.9562 | 0.34 | 20 | 0.8418 |
| 0.7822 | 0.36 | 21 | 0.8366 |
| 0.767 | 0.38 | 22 | 0.8308 |
| 0.9024 | 0.4 | 23 | 0.8242 |
| 0.8596 | 0.41 | 24 | 0.8183 |
| 0.8424 | 0.43 | 25 | 0.8123 |
| 0.7396 | 0.45 | 26 | 0.8059 |
| 0.7742 | 0.47 | 27 | 0.7999 |
| 0.7007 | 0.48 | 28 | 0.7943 |
| 0.6915 | 0.5 | 29 | 0.7890 |
| 0.7054 | 0.52 | 30 | 0.7836 |
| 0.7622 | 0.53 | 31 | 0.7785 |
| 0.6493 | 0.55 | 32 | 0.7720 |
| 0.6106 | 0.57 | 33 | 0.7650 |
| 0.7534 | 0.59 | 34 | 0.7583 |
| 0.7065 | 0.6 | 35 | 0.7532 |
| 0.8823 | 0.62 | 36 | 0.7472 |
| 0.7082 | 0.64 | 37 | 0.7424 |
| 0.7292 | 0.66 | 38 | 0.7405 |
| 0.8142 | 0.67 | 39 | 0.7390 |
| 0.6079 | 0.69 | 40 | 0.7368 |
### Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
|