|
--- |
|
library_name: transformers |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- json |
|
model-index: |
|
- name: root/cproject_updated/conv_200k_14b |
|
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. --> |
|
|
|
[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl) |
|
<details><summary>See axolotl config</summary> |
|
|
|
axolotl version: `0.6.0` |
|
```yaml |
|
base_model: /root/cproject_updated/Qwen2.5-7B |
|
model_type: AutoModelForCausalLM |
|
tokenizer_type: AutoTokenizer |
|
trust_remote_code: true |
|
|
|
plugins: |
|
- axolotl.integrations.liger.LigerPlugin |
|
|
|
liger_rope: true |
|
liger_rms_norm: true |
|
liger_swiglu: true |
|
liger_fused_linear_cross_entropy: false |
|
|
|
load_in_8bit: false |
|
load_in_4bit: false |
|
strict: false |
|
|
|
auto_resume_from_checkpoints: true |
|
|
|
datasets: |
|
- path: json |
|
data_files: /root/cproject_updated/judge_1k_axolotl.jsonl |
|
ds_type: json |
|
type: completion |
|
|
|
shuffle_merged_datasets: true |
|
dataset_prepared_path: /root/cproject_updated/prnew142 |
|
val_set_size: 0.05 |
|
output_dir: /root/cproject_updated/conv_200k_14b |
|
sequence_len: 8192 |
|
sample_packing: true |
|
eval_sample_packing: false |
|
|
|
gradient_accumulation_steps: 1 |
|
micro_batch_size: 1 |
|
num_epochs: 4 |
|
optimizer: paged_adamw_8bit |
|
lr_scheduler: cosine |
|
|
|
learning_rate: 1e-5 |
|
adam_beta1: 0.99 |
|
adam_beta2: 0.99 |
|
max_grad_norm: 0.0002 |
|
train_on_inputs: false |
|
group_by_length: false |
|
bf16: auto |
|
|
|
gradient_checkpointing: true |
|
gradient_checkpointing_kwargs: |
|
use_reentrant: true |
|
|
|
logging_steps: 1 |
|
flash_attention: true |
|
warmup_steps: 10 |
|
eval_steps: 26 |
|
saves_per_epoch: 1 |
|
|
|
deepspeed: /sky_workdir/axolotl/deepspeed_configs/zero3_bf16.json |
|
|
|
auto_resume_from_checkpoints: false |
|
wandb_project: corruption_model_rm |
|
wandb_entity: |
|
wandb_watch: |
|
wandb_name: rm-test-v1-7b-adammax2 |
|
wandb_log_model: |
|
``` |
|
|
|
</details><br> |
|
|
|
# root/cproject_updated/conv_200k_14b |
|
|
|
This model was trained from scratch on the json dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.5430 |
|
|
|
## 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: 1e-05 |
|
- train_batch_size: 1 |
|
- eval_batch_size: 1 |
|
- seed: 42 |
|
- distributed_type: multi-GPU |
|
- num_devices: 8 |
|
- total_train_batch_size: 8 |
|
- total_eval_batch_size: 8 |
|
- optimizer: Use paged_adamw_8bit with betas=(0.99,0.99) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
|
- lr_scheduler_type: cosine |
|
- lr_scheduler_warmup_steps: 10 |
|
- num_epochs: 4 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 0.7452 | 1.0 | 26 | 0.7888 | |
|
| 0.6347 | 2.0 | 52 | 0.6729 | |
|
| 0.6479 | 3.0 | 78 | 0.5560 | |
|
| 0.3729 | 4.0 | 104 | 0.5430 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.47.1 |
|
- Pytorch 2.4.1+cu121 |
|
- Datasets 3.1.0 |
|
- Tokenizers 0.21.0 |
|
|
