Total runs:
13
Run Growth:
4
Growth Rate:
30.77%
Sponsored by
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kloodia / lora-8b-physic
Model's Last Updated: April 29 2024
Introduction of lora-8b-physic
Model Details of lora-8b-physic
See axolotl config
axolotl version:
0.4.0
base_model: meta-llama/Meta-Llama-3-8B
model_type: LlamaForCausalLM
tokenizer_type: AutoTokenizer
load_in_8bit: true
load_in_4bit: false
strict: false
datasets:
- path: kloodia/raw_physic
type: oasst
dataset_prepared_path:
val_set_size: 0.05
output_dir: ./lora-out
sequence_len: 4096
sample_packing: true
pad_to_sequence_len: true
adapter: lora
lora_model_dir:
lora_r: 32
lora_alpha: 16
lora_dropout: 0.05
lora_target_linear: true
lora_fan_in_fan_out:
wandb_project:
wandb_entity:
wandb_watch:
wandb_name:
wandb_log_model:
gradient_accumulation_steps: 4
micro_batch_size: 1
num_epochs: 4
optimizer: adamw_bnb_8bit
lr_scheduler: cosine
learning_rate: 0.0002
train_on_inputs: false
group_by_length: false
bf16: auto
fp16:
tf32: false
gradient_checkpointing: true
early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 1
xformers_attention:
flash_attention: true
s2_attention:
warmup_steps: 10
evals_per_epoch: 4
eval_table_size:
eval_max_new_tokens: 128
saves_per_epoch: 1
debug:
deepspeed:
weight_decay: 0.0
fsdp:
fsdp_config:
special_tokens:
pad_token: <|end_of_text|>
lora-out
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5060
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: 0.0002
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- 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: 10
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.641 | 0.01 | 1 | 0.6417 |
| 0.5093 | 0.25 | 42 | 0.5260 |
| 0.4665 | 0.5 | 84 | 0.5118 |
| 0.4431 | 0.75 | 126 | 0.5043 |
| 0.4523 | 1.0 | 168 | 0.4985 |
| 0.4237 | 1.23 | 210 | 0.4985 |
| 0.4002 | 1.48 | 252 | 0.4976 |
| 0.3656 | 1.73 | 294 | 0.4955 |
| 0.3744 | 1.98 | 336 | 0.4942 |
| 0.3278 | 2.21 | 378 | 0.5012 |
| 0.344 | 2.46 | 420 | 0.5003 |
| 0.3216 | 2.71 | 462 | 0.4984 |
| 0.3371 | 2.96 | 504 | 0.4980 |
| 0.3243 | 3.19 | 546 | 0.5051 |
| 0.3184 | 3.44 | 588 | 0.5052 |
| 0.313 | 3.69 | 630 | 0.5060 |
| 0.3097 | 3.94 | 672 | 0.5060 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.0.dev0
- Pytorch 2.1.2+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
Runs of kloodia lora-8b-physic on huggingface.co
5
Total runs
0
24-hour runs
0
3-day runs
0
7-day runs
-1
30-day runs
More Information About lora-8b-physic huggingface.co Model
Url of lora-8b-physic
lora-8b-physic huggingface.co Url
Provider of lora-8b-physic huggingface.co
Other API from kloodia
Updated:April 30 2024
Total runs:
11
Run Growth:
2
Growth Rate:
18.18%
Total runs:
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Run Growth:
11
Growth Rate:
100.00%
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10
Run Growth:
3
Growth Rate:
30.00%
Total runs:
7
Run Growth:
5
Growth Rate:
71.43%
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6
Run Growth:
4
Growth Rate:
66.67%
Total runs:
3
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Growth Rate:
0.00%
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Growth Rate:
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