|
|
---
|
|
|
library_name: transformers
|
|
|
license: apache-2.0
|
|
|
base_model: Qwen/Qwen2.5-7B
|
|
|
tags:
|
|
|
- generated_from_trainer
|
|
|
language:
|
|
|
- zho
|
|
|
- eng
|
|
|
- fra
|
|
|
- spa
|
|
|
- por
|
|
|
- deu
|
|
|
- ita
|
|
|
- rus
|
|
|
- jpn
|
|
|
- kor
|
|
|
- vie
|
|
|
- tha
|
|
|
- ara
|
|
|
model-index:
|
|
|
- name: outputs/out
|
|
|
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: `0.4.1`
|
|
|
```yaml
|
|
|
base_model: Qwen/Qwen2.5-7B
|
|
|
model_type: AutoModelForCausalLM
|
|
|
tokenizer_type: AutoTokenizer
|
|
|
|
|
|
load_in_8bit: false
|
|
|
load_in_4bit: false
|
|
|
strict: false
|
|
|
|
|
|
datasets:
|
|
|
- path: PocketDoc/Dans-MemoryCore-CoreCurriculum-Small
|
|
|
type: sharegpt
|
|
|
conversation: chatml
|
|
|
- path: NewEden/Kalo-Opus-Instruct-22k-Refusal-Murdered
|
|
|
type: sharegpt
|
|
|
conversation: chatml
|
|
|
- path: Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned
|
|
|
type: sharegpt
|
|
|
conversation: chatml
|
|
|
- path: NewEden/Gryphe-Sonnet-3.5-35k-Subset
|
|
|
type: sharegpt
|
|
|
conversation: chatml
|
|
|
- path: Nitral-AI/Reasoning-1shot_ShareGPT
|
|
|
type: sharegpt
|
|
|
conversation: chatml
|
|
|
- path: Nitral-AI/GU_Instruct-ShareGPT
|
|
|
type: sharegpt
|
|
|
conversation: chatml
|
|
|
- path: Nitral-AI/Medical_Instruct-ShareGPT
|
|
|
type: sharegpt
|
|
|
conversation: chatml
|
|
|
- path: AquaV/Resistance-Sharegpt
|
|
|
type: sharegpt
|
|
|
conversation: chatml
|
|
|
- path: AquaV/US-Army-Survival-Sharegpt
|
|
|
type: sharegpt
|
|
|
conversation: chatml
|
|
|
- path: Gryphe/Sonnet3.5-SlimOrcaDedupCleaned
|
|
|
type: sharegpt
|
|
|
conversation: chatml
|
|
|
|
|
|
chat_template: chatml
|
|
|
|
|
|
val_set_size: 0.002
|
|
|
output_dir: ./outputs/out
|
|
|
|
|
|
adapter:
|
|
|
lora_r:
|
|
|
lora_alpha:
|
|
|
lora_dropout:
|
|
|
lora_target_linear:
|
|
|
|
|
|
sequence_len: 8192
|
|
|
sample_packing: true
|
|
|
eval_sample_packing: false
|
|
|
pad_to_sequence_len: true
|
|
|
|
|
|
plugins:
|
|
|
- axolotl.integrations.liger.LigerPlugin
|
|
|
liger_rope: true
|
|
|
liger_rms_norm: true
|
|
|
liger_swiglu: true
|
|
|
liger_fused_linear_cross_entropy: true
|
|
|
|
|
|
wandb_project: qwen7B
|
|
|
wandb_entity:
|
|
|
wandb_watch:
|
|
|
wandb_name: qwen7B
|
|
|
wandb_log_model:
|
|
|
|
|
|
gradient_accumulation_steps: 32
|
|
|
micro_batch_size: 1
|
|
|
num_epochs: 2
|
|
|
optimizer: adamw_bnb_8bit
|
|
|
lr_scheduler: cosine
|
|
|
learning_rate: 0.00001
|
|
|
weight_decay: 0.05
|
|
|
|
|
|
train_on_inputs: false
|
|
|
group_by_length: false
|
|
|
bf16: auto
|
|
|
fp16:
|
|
|
tf32: true
|
|
|
|
|
|
gradient_checkpointing: true
|
|
|
early_stopping_patience:
|
|
|
resume_from_checkpoint:
|
|
|
local_rank:
|
|
|
logging_steps: 1
|
|
|
xformers_attention:
|
|
|
flash_attention: true
|
|
|
|
|
|
warmup_ratio: 0.1
|
|
|
evals_per_epoch: 4
|
|
|
eval_table_size:
|
|
|
eval_max_new_tokens: 128
|
|
|
saves_per_epoch: 2
|
|
|
|
|
|
debug:
|
|
|
deepspeed:
|
|
|
fsdp:
|
|
|
fsdp_config:
|
|
|
|
|
|
special_tokens:
|
|
|
pad_token: <pad>
|
|
|
|
|
|
```
|
|
|
|
|
|
</details><br>
|
|
|
|
|
|
# outputs/out
|
|
|
|
|
|
This model is a fine-tuned version of [Qwen/Qwen2.5-7B](https://huggingface.co/Qwen/Qwen2.5-7B) on the None dataset.
|
|
|
It achieves the following results on the evaluation set:
|
|
|
- Loss: 0.7923
|
|
|
|
|
|
## 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: 4
|
|
|
- gradient_accumulation_steps: 32
|
|
|
- total_train_batch_size: 128
|
|
|
- total_eval_batch_size: 4
|
|
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
|
|
- lr_scheduler_type: cosine
|
|
|
- lr_scheduler_warmup_steps: 46
|
|
|
- num_epochs: 2
|
|
|
|
|
|
### Training results
|
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss |
|
|
|
|:-------------:|:------:|:----:|:---------------:|
|
|
|
| 1.0297 | 0.0043 | 1 | 1.1468 |
|
|
|
| 0.8512 | 0.2515 | 58 | 0.8729 |
|
|
|
| 0.8496 | 0.5030 | 116 | 0.8193 |
|
|
|
| 0.8175 | 0.7546 | 174 | 0.8033 |
|
|
|
| 0.7868 | 1.0041 | 232 | 0.7961 |
|
|
|
| 0.8119 | 1.2555 | 290 | 0.7934 |
|
|
|
| 0.799 | 1.5069 | 348 | 0.7926 |
|
|
|
| 0.7891 | 1.7583 | 406 | 0.7923 |
|
|
|
|
|
|
|
|
|
### Framework versions
|
|
|
|
|
|
- Transformers 4.45.0.dev0
|
|
|
- Pytorch 2.4.0+cu121
|
|
|
- Datasets 2.21.0
|
|
|
- Tokenizers 0.19.1
|
|
|
|
