🚀 AdamGrzesik/Samantha-PL-AG-Mistral-7B-v0.2
本模型是基于 alpindale/Mistral-7B-v0.2-hf 在 Samanta-PL-AG-axolotl 数据集上进行微调后的版本。
📚 详细文档
模型信息
属性 |
详情 |
基础模型 |
alpindale/Mistral-7B-v0.2-hf |
标签 |
generated_from_trainer |
模型名称 |
AdamGrzesik/Samantha-PL-AG-Mistral-7B-v0.2 |
Axolotl 配置

查看 axolotl 配置
axolotl 版本: 0.4.0
base_model: alpindale/Mistral-7B-v0.2-hf
model_type: MistralForCausalLM
tokenizer_type: LlamaTokenizer
is_mistral_derived_model: true
load_in_8bit: false
load_in_4bit: false
strict: false
datasets:
- path: /workspace/datasets/Samantha-PL-AG-axolotl.json
type: sharegpt
chat_template: chatml
dataset_prepared_path: last_run_prepared
val_set_size: 0.001
output_dir: /workspace/Samantha
sequence_len: 16384
sample_packing: true
pad_to_sequence_len: true
wandb_project:
wandb_entity:
wandb_watch:
wandb_run_id:
wandb_log_model:
gradient_accumulation_steps: 8
micro_batch_size: 3
num_epochs: 4
adam_beta2: 0.95
adam_epsilon: 0.00001
max_grad_norm: 1.0
lr_scheduler: cosine
learning_rate: 0.000005
optimizer: adamw_bnb_8bit
train_on_inputs: false
group_by_length: false
bf16: true
fp16: false
tf32: false
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_steps: 10
eval_steps: 73
eval_table_size:
eval_table_max_new_tokens:
eval_sample_packing: false
saves_per_epoch:
save_steps: 73
save_total_limit: 2
debug:
deepspeed: deepspeed_configs/zero3_bf16.json
weight_decay: 0.1
fsdp:
fsdp_config:
special_tokens:
eos_token: "<|im_end|>"
tokens:
- "<|im_start|>"
训练超参数
训练过程中使用了以下超参数:
- 学习率(learning_rate): 5e-06
- 训练批次大小(train_batch_size): 3
- 评估批次大小(eval_batch_size): 3
- 随机种子(seed): 42
- 分布式类型(distributed_type): 多 GPU
- 设备数量(num_devices): 2
- 梯度累积步数(gradient_accumulation_steps): 8
- 总训练批次大小(total_train_batch_size): 48
- 总评估批次大小(total_eval_batch_size): 6
- 优化器(optimizer): Adam(β1=0.9,β2=0.95,ε=1e-05)
- 学习率调度器类型(lr_scheduler_type): 余弦退火
- 学习率调度器预热步数(lr_scheduler_warmup_steps): 10
- 训练轮数(num_epochs): 4