axolotl version: 0.4.0
base_model: Alignment-Lab-AI/Alignment-Lab-AIlonger
load_in_8bit: false
load_in_4bit: false
strict: false
tokenizer_type: LlamaTokenizer
datasets:
- path: PygmalionAI/spice
type: sharegpt
conversation: chatml
- path: PygmalionAI/NYROS
type: sharegpt
conversation: chatml
chat_template: chatml
dataset_prepared_path: /workspace/disk2/2prepath2
val_set_size: 0.05
output_dir: /workspace/disk2/Eros2
eval_sample_packing: true
sequence_len: 16384
sample_packing: true
pad_to_sequence_len: true
torch_compile: true
hf_use_auth_token: true
hub_strategy: all_checkpoints
hub_model_id: PygmalionAI/Eros-ALPHA
hub_private_repo: true
push_to_hub: true
wandb_project: Erosium
wandb_entity:
wandb_watch: all
overwrite_output_dir: false
wandb_name:
wandb_log_model:
save_safetensors: true
gradient_accumulation_steps: 6
micro_batch_size: 1
num_epochs: 3
optimizer: adamw_bnb_8bit
amsgrad: true
max_grad_norm: 0.3
lr_scheduler: 'cosine'
lr_scheduler_kwargs:
num_cycles: 3
learning_rate: 0.000005
gradient_checkpointing: true
gradient_checkpointing_kwargs:
use_reentrant: false
train_on_inputs: false
group_by_length: true
neftune_noise_alpha: 5
bf16: auto
fp16:
tf32: false
seed: 314159
early_stopping_patience:
local_rank:
logging_steps: 1
log_level: debug
xformers_attention:
flash_attention: true
warmup_steps:
eval_per_epoch: 0.05
save_steps: 0.10
debug:
deepspeed: ./deepspeed_configs/zero2.json
weight_decay: 0.0020
fsdp:
fsdp_config:
special_tokens:
bos_token: "<s>"
eos_token: "</s>"
unk_token: "<unk>"
tokens:
- "<|im_start|>"
- "<|im_end|>"
Eros-ALPHA
This model is a fine-tuned version of Alignment-Lab-AI/Alignment-Lab-AIlonger on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2012
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: 5e-06
- train_batch_size: 1
- eval_batch_size: 1
- seed: 314159
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 6
- total_train_batch_size: 48
- 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: 1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.3214 | 1.02 | 149 | 1.3297 |
| 1.2704 | 2.02 | 299 | 1.2548 |
| 1.1581 | 2.95 | 438 | 1.2012 |
Framework versions
- Transformers 4.39.0.dev0
- Pytorch 2.1.2+cu118
- Datasets 2.18.0
- Tokenizers 0.15.0