File size: 1,367 Bytes
1ac3d28 9940d44 8ddabd8 1ac3d28 8ddabd8 9940d44 1ac3d28 8ddabd8 1ac3d28 8ddabd8 1ac3d28 9940d44 1ac3d28 8ddabd8 1ac3d28 8ddabd8 1ac3d28 8ddabd8 1ac3d28 8ddabd8 1ac3d28 |
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 |
---
base_model: hon9kon9ize/yi-1.5-6b-yub-vocab-expanded
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
- trl
- sft
- generated_from_trainer
datasets:
- hon9kon9ize/cantonesellm-pt-20240514
model-index:
- name: cantonesellm-cpt-202405
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. -->
# cantonesellm-cpt-202405
This model is a fine-tuned version of [hon9kon9ize/yi-1.5-6b-yub-vocab-expanded](https://huggingface.co/hon9kon9ize/yi-1.5-6b-yub-vocab-expanded) on the hon9kon9ize/cantonesellm-pt-20240514 dataset.
## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 1
### Training results
### Framework versions
- Transformers 4.40.2
- Pytorch 2.1.0+cu118
- Datasets 2.19.1
- Tokenizers 0.19.1
|