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YoungPanda / test4
Model's Last Updated: February 05 2024
text-generation
Introduction of test4
Model Details of test4
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
load_in_8bit: false
load_in_4bit: false
strict: false
datasets:
- path: Drewskidang/rag
type: alpaca
- path: Drewskidang/chatinstruct
type: alpaca
- path: Drewskidang/Instruct
type: alpaca
- path: Drewskidang/output
type: alpaca
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
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: 1
micro_batch_size: 10
num_epochs: 2
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:
out
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: 12.2158
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: 10
- eval_batch_size: 10
- seed: 42
- distributed_type: multi-GPU
- num_devices: 7
- total_train_batch_size: 70
- total_eval_batch_size: 70
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0045 | 0.04 | 1 | 1.0213 |
| 0.9752 | 0.26 | 7 | 0.9097 |
| 0.8562 | 0.52 | 14 | 0.8622 |
| 0.8457 | 0.78 | 21 | 0.8343 |
| 0.8846 | 1.04 | 28 | 0.8288 |
| 0.596 | 1.26 | 35 | 0.9086 |
| 1.4506 | 1.52 | 42 | 2.4507 |
| 27.7592 | 1.78 | 49 | 12.2158 |
Framework versions
- Transformers 4.38.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.16.1
- Tokenizers 0.15.0
Runs of YoungPanda test4 on huggingface.co
2
Total runs
0
24-hour runs
0
3-day runs
0
7-day runs
0
30-day runs
More Information About test4 huggingface.co Model
Url of test4
test4 huggingface.co Url
Provider of test4 huggingface.co
Other API from YoungPanda
Total runs:
6
Run Growth:
0
Growth Rate:
0.00%
Total runs:
6
Run Growth:
0
Growth Rate:
0.00%
Total runs:
2
Run Growth:
0
Growth Rate:
0.00%
Total runs:
0
Run Growth:
0
Growth Rate:
0.00%