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YoungPanda / up2chatml
Model's Last Updated: February 15 2024
text-generation
Introduction of up2chatml
Model Details of up2chatml
See axolotl config
axolotl version:
0.4.0
base_model: upstage/SOLAR-10.7B-v1.0
model_type: LlamaForCausalLM
tokenizer_type: LlamaTokenizer
is_llama_derived_model: true
trust_remote_code: true
load_in_8bit: false
load_in_4bit: false
strict: false
datasets:
- path: Drewskidang/share
type: sharegpt
split: train
conversation: chatml
- path: Drewskidang/shareinstruct
type: sharegpt
split: train
conversation: chatml
dataset_prepared_path: last_run_prepared
val_set_size: 0.05
output_dir: ./chatml
sequence_len: 4096
sample_packing: true
pad_to_sequence_len: true
eval_sample_packing: false
adapter:
lora_model_dir:
lora_r:
lora_alpha:
lora_dropout:
lora_target_linear:
lora_fan_in_fan_out:
wandb_project:
wandb_entity:
wandb_watch:
wandb_name:
wandb_log_model:
gradient_accumulation_steps: 4
micro_batch_size: 12
num_epochs: 5
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
flash_attn_cross_entropy: false
flash_attn_rms_norm: true
flash_attn_fuse_qkv: false
flash_attn_fuse_mlp: true
warmup_steps: 100
evals_per_epoch: 4
eval_table_size:
saves_per_epoch: 1
debug:
deepspeed: #deepspeed_configs/zero2.json # multi-gpu only
weight_decay: 0.1
fsdp:
fsdp_config:
special_tokens:
tokens: # these are delimiters
- "<|im_start|>"
- "<|im_end|>"
chatml
This model is a fine-tuned version of upstage/SOLAR-10.7B-v1.0 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1262
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: 12
- eval_batch_size: 12
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 384
- total_eval_batch_size: 96
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.4068 | 0.31 | 1 | 1.4339 |
| 1.4144 | 0.62 | 2 | 1.3014 |
| 1.2489 | 0.92 | 3 | 1.2079 |
| 1.1695 | 1.15 | 4 | 1.2505 |
| 1.2222 | 1.46 | 5 | 1.2246 |
| 1.1716 | 1.77 | 6 | 1.5272 |
| 1.4521 | 2.08 | 7 | 1.2458 |
| 1.1637 | 2.31 | 8 | 1.2050 |
| 1.118 | 2.62 | 9 | 1.3758 |
| 1.2671 | 2.92 | 10 | 1.2687 |
| 1.1615 | 3.15 | 11 | 1.1509 |
| 0.9979 | 3.46 | 12 | 1.2254 |
| 1.0704 | 3.77 | 13 | 1.1332 |
| 0.9714 | 4.08 | 14 | 1.1505 |
| 0.9191 | 4.31 | 15 | 1.1262 |
Framework versions
- Transformers 4.38.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.17.0
- Tokenizers 0.15.0
Runs of YoungPanda up2chatml on huggingface.co
7
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More Information About up2chatml huggingface.co Model
Url of up2chatml
up2chatml huggingface.co Url
Provider of up2chatml huggingface.co
Other API from YoungPanda
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