See axolotl config
axolotl version: 0.4.0
base_model: meta-llama/Llama-2-7b-hf
model_type: LlamaForCausalLM
tokenizer_type: LlamaTokenizer
load_in_8bit: false
load_in_4bit: false
strict: false
datasets:
- path: tatsu-lab/alpaca
type: alpaca
conversations: alpaca
dataset_prepared_path: last_run_prepared
val_set_size: 0.001
output_dir: ./outputs/out_llama2_alpaca
hub_model_id: flydust/Llama-2-7b-Alpaca52k
sequence_len: 4096
sample_packing: true
eval_sample_packing: false
pad_to_sequence_len: true
wandb_project:
wandb_entity:
wandb_watch:
wandb_name:
wandb_log_model:
gradient_accumulation_steps: 4
micro_batch_size: 2
num_epochs: 4
optimizer: adamw_bnb_8bit
lr_scheduler: cosine
learning_rate: 2e-5
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
flash_attn_cross_entropy: false
flash_attn_rms_norm: true
flash_attn_fuse_qkv: false
flash_attn_fuse_mlp: true
warmup_ratio: 0.03
evals_per_epoch: 3
eval_table_size:
saves_per_epoch: 1
debug:
weight_decay: 0.
fsdp:
fsdp_config:
special_tokens:
Llama-2-7b-Alpaca52k
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.9082
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: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 6
- num_epochs: 4
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
1.3641 | 0.02 | 1 | 1.5519 |
1.0767 | 0.34 | 17 | 0.9333 |
1.0938 | 0.68 | 34 | 0.9166 |
1.0373 | 1.02 | 51 | 0.9096 |
1.0149 | 1.335 | 68 | 0.9031 |
1.0084 | 1.675 | 85 | 0.9071 |
0.9582 | 2.0150 | 102 | 0.9034 |
0.9767 | 2.33 | 119 | 0.9066 |
0.964 | 2.67 | 136 | 0.9060 |
0.9334 | 3.01 | 153 | 0.9073 |
0.9254 | 3.325 | 170 | 0.9084 |
0.9295 | 3.665 | 187 | 0.9082 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for flydust/Llama-2-7b-Alpaca52k
Base model
meta-llama/Llama-2-7b-hf