metadata
tags:
- generated_from_trainer
model-index:
- name: out
results: []
See axolotl config
axolotl version: 0.4.0
base_model: /home/layla/src/text-generation-webui/models/phi-2
model_type: AutoModelForCausalLM
tokenizer_type: AutoTokenizer
load_in_8bit: false
load_in_4bit: false
strict: false
datasets:
- path: /home/layla/src/Layla-datasets/datasets_formatted/base/dailydialog.topicalchat.teatime.openhermes.jsonl
ds_type: json # see other options below
type: sharegpt
conversation: vicuna_v1.1
# datasets:
# - path: /home/layla/src/Layla-datasets/datasets_formatted/airoboros_alpaca.jsonl
# type: alpaca
dataset_prepared_path: last_run_prepared
val_set_size: 0.01
output_dir: ./out
sequence_len: 2048
sample_packing: true
pad_to_sequence_len: true
wandb_project:
wandb_entity:
wandb_watch:
wandb_run_id:
wandb_log_model:
gradient_accumulation_steps: 4
micro_batch_size: 2
num_epochs: 1
optimizer: adamw_bnb_8bit
lr_scheduler: cosine
learning_rate: 0.0000005
train_on_inputs: false
group_by_length: false
bf16: auto
fp16:
tf32: true
gradient_checkpointing: true
gradient_checkpointing_kwargs:
use_reentrant: True
early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 1
xformers_attention:
flash_attention: true
warmup_ratio: 0.05
eval_steps: 0.1
eval_sample_packing: true
save_steps: 300
debug:
deepspeed: /home/layla/src/Layla-datasets/axolotl/configs/deepspeed/zero2.json # multi-gpu only
weight_decay: 0.0
fsdp:
fsdp_config:
resize_token_embeddings_to_32x: true
special_tokens:
bos_token: "<|endoftext|>"
eos_token: "<|endoftext|>"
unk_token: "<|endoftext|>"
pad_token: "<|endoftext|>"
out
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8072
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-07
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 5
- gradient_accumulation_steps: 4
- total_train_batch_size: 40
- total_eval_batch_size: 10
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 17
- num_epochs: 1
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.9616 | 0.0 | 1 | 1.0031 |
0.9489 | 0.1 | 372 | 0.8825 |
0.987 | 0.2 | 744 | 0.8487 |
0.818 | 0.3 | 1116 | 0.8313 |
0.8389 | 0.4 | 1488 | 0.8212 |
0.9015 | 0.5 | 1860 | 0.8146 |
0.8237 | 0.6 | 2232 | 0.8108 |
0.7562 | 0.7 | 2604 | 0.8088 |
0.8776 | 0.8 | 2976 | 0.8078 |
0.8703 | 0.9 | 3348 | 0.8072 |
Framework versions
- Transformers 4.39.0.dev0
- Pytorch 2.2.0
- Datasets 2.17.1
- Tokenizers 0.15.0