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rayonlabs/
TinyLlama-1.1B-Chat-v1.0-ai-medical-chatbot-d8ccbde0-9df6-4529-9bec-60826970ec03

Name: TinyLlama-1.1B-Chat-v1.0-ai-medical-chatbot-d8ccbde0-9df6-4529-9bec-60826970ec03
Availability: InStock

generated_from_trainer

TinyLlama/TinyLlama-1.1B-Chat-v1.0

adapter

apache-2.0

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See axolotl config

axolotl version: 0.4.1

yaml

adapter: lora
base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
bf16: auto
chat_template: llama3
dataset_prepared_path: null
datasets:
- data_files:
  - f7b540bdf6390e0c_train_data.json
  ds_type: json
  format: custom
  path: /workspace/input_data/f7b540bdf6390e0c_train_data.json
  type:
    field_input: Patient
    field_instruction: Description
    field_output: Doctor
    format: '{instruction} {input}'
    no_input_format: '{instruction}'
    system_format: '{system}'
    system_prompt: ''
debug: null
deepspeed: null
early_stopping_patience: 1
eval_max_new_tokens: 128
eval_steps: 25
eval_table_size: null
flash_attention: true
fp16: false
fsdp: null
fsdp_config: null
gradient_accumulation_steps: 16
gradient_checkpointing: true
group_by_length: true
hub_model_id: sn56b1/d8ccbde0-9df6-4529-9bec-60826970ec03
hub_repo: null
hub_strategy: checkpoint
hub_token: null
learning_rate: 0.0001
load_in_4bit: false
load_in_8bit: false
local_rank: null
logging_steps: 1
lora_alpha: 64
lora_dropout: 0.05
lora_fan_in_fan_out: null
lora_model_dir: null
lora_r: 32
lora_target_linear: true
lr_scheduler: cosine
max_steps: 50
micro_batch_size: 2
mlflow_experiment_name: /tmp/f7b540bdf6390e0c_train_data.json
model_type: AutoModelForCausalLM
num_epochs: 3
optimizer: adamw_torch
output_dir: miner_id_24
pad_to_sequence_len: true
resume_from_checkpoint: null
s2_attention: null
sample_packing: false
save_steps: 25
sequence_len: 2048
strict: false
tf32: false
tokenizer_type: AutoTokenizer
train_on_inputs: false
trust_remote_code: true
val_set_size: 0.05
wandb_entity: sn56-miner
wandb_mode: disabled
wandb_name: d8ccbde0-9df6-4529-9bec-60826970ec03
wandb_project: god
wandb_run: kh2g
wandb_runid: d8ccbde0-9df6-4529-9bec-60826970ec03
warmup_ratio: 0.05
weight_decay: 0.01
xformers_attention: true

d8ccbde0-9df6-4529-9bec-60826970ec03

This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0 on the None dataset. It achieves the following results on the evaluation set:

Loss: 2.3813

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: 0.0001
train_batch_size: 2
eval_batch_size: 2
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 16
total_train_batch_size: 128
total_eval_batch_size: 8
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 2
training_steps: 50

Training results

Training Loss	Epoch	Step	Validation Loss
2.6555	0.0005	1	2.8453
2.6714	0.0131	25	2.4203
2.5551	0.0262	50	2.3813

Framework versions

PEFT 0.13.2
Transformers 4.46.0
Pytorch 2.5.0+cu124
Datasets 3.0.1
Tokenizers 0.20.1

rayonlabs/TinyLlama-1.1B-Chat-v1.0-ai-medical-chatbot-d8ccbde0-9df6-4529-9bec-60826970ec03

d8ccbde0-9df6-4529-9bec-60826970ec03

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

rayonlabs/
TinyLlama-1.1B-Chat-v1.0-ai-medical-chatbot-d8ccbde0-9df6-4529-9bec-60826970ec03