File size: 2,194 Bytes
2118bca |
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 |
---
license: mit
library_name: peft
tags:
- generated_from_trainer
base_model: HuggingFaceH4/zephyr-7b-beta
model-index:
- name: zephyr-7b-b-cosmosqa-ptbr-text-v3
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. -->
# zephyr-7b-b-cosmosqa-ptbr-text-v3
This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0961
## 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: 4e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 2
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.4897 | 0.13 | 100 | 1.1561 |
| 1.1452 | 0.25 | 200 | 1.1251 |
| 1.1185 | 0.38 | 300 | 1.1146 |
| 1.1079 | 0.51 | 400 | 1.1038 |
| 1.0906 | 0.63 | 500 | 1.0998 |
| 1.0849 | 0.76 | 600 | 1.0967 |
| 1.0721 | 0.89 | 700 | 1.0959 |
| 1.0623 | 1.01 | 800 | 1.0941 |
| 1.0217 | 1.14 | 900 | 1.0987 |
| 1.0122 | 1.27 | 1000 | 1.0977 |
| 1.0095 | 1.39 | 1100 | 1.0980 |
| 1.0088 | 1.52 | 1200 | 1.0966 |
| 0.9952 | 1.65 | 1300 | 1.0964 |
| 1.0018 | 1.77 | 1400 | 1.0967 |
| 0.9991 | 1.9 | 1500 | 1.0961 |
### Framework versions
- PEFT 0.7.1.dev0
- Transformers 4.36.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.7
- Tokenizers 0.15.0 |