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YoungPanda / pretrain_llama3
Model's Last Updated: May 12 2024
text-generation
Introduction of pretrain_llama3
Model Details of pretrain_llama3
See axolotl config
axolotl version:
0.4.0
base_model: winglian/Llama-3-8b-64k-PoSE
model_type: LlamaForCausalLM
tokenizer_type: AutoTokenizer
load_in_8bit: false
load_in_4bit: false
strict: false
datasets:
- path: YoungPanda/bookpt
type: completion
- path: YoungPanda/pt
type: completion
dataset_prepared_path: last_run_prepared
val_set_size: 0.05
output_dir: ./out
sequence_len: 4096
sample_packing: true
pad_to_sequence_len: true
eval_sample_packing: false
wandb_project: pretrain_llama
wandb_entity:
wandb_watch:
wandb_name:
wandb_log_model:
gradient_accumulation_steps: 2
micro_batch_size: 4
num_epochs: 1
optimizer: paged_adamw_8bit
lr_scheduler: cosine
learning_rate: 2e-5
train_on_inputs: false
group_by_length: false
bf16: auto
fp16:
tf32: false
gradient_checkpointing: true
gradient_checkpointing_kwargs:
use_reentrant: false
early_stopping_patience:
resume_from_checkpoint:
logging_steps: 1
xformers_attention:
flash_attention: true
warmup_steps: 100
evals_per_epoch: 2
eval_table_size:
saves_per_epoch: 1
debug:
deepspeed:
weight_decay: 0.0
fsdp:
fsdp_config:
special_tokens:
pad_token: <|end_of_text|>
out
This model is a fine-tuned version of winglian/Llama-3-8b-64k-PoSE on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.6729
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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- total_eval_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: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.7485 | 0.03 | 1 | 1.7955 |
| 1.791 | 0.49 | 15 | 1.7388 |
| 1.6497 | 0.98 | 30 | 1.6729 |
Framework versions
- Transformers 4.40.0.dev0
- Pytorch 2.2.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
Runs of YoungPanda pretrain_llama3 on huggingface.co
3
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More Information About pretrain_llama3 huggingface.co Model
Url of pretrain_llama3
pretrain_llama3 huggingface.co Url
Provider of pretrain_llama3 huggingface.co
Other API from YoungPanda
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