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Model: mlfoundations-dev/1k_globalbatchsize64_lr5e6_epochs3
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---
library_name: transformers
license: apache-2.0
base_model: Qwen/Qwen2.5-7B-Instruct
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: 1k_globalbatchsize64_lr5e6_epochs3
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 1k_globalbatchsize64_lr5e6_epochs3
This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on the mlfoundations-dev/openthoughts_1000 dataset.
## 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-06
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- total_eval_batch_size: 64
- 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_ratio: 0.1
- num_epochs: 3.0
### Training results
### Framework versions
- Transformers 4.46.1
- Pytorch 2.3.0
- Datasets 3.1.0
- Tokenizers 0.20.3

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"epoch": 2.896,
"total_flos": 5.682962857616998e+16,
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"max_window_layers": 28,
"model_type": "qwen2",
"num_attention_heads": 28,
"num_hidden_layers": 28,
"num_key_value_heads": 4,
"rms_norm_eps": 1e-06,
"rope_scaling": null,
"rope_theta": 1000000.0,
"sliding_window": null,
"tie_word_embeddings": false,
"torch_dtype": "bfloat16",
"transformers_version": "4.46.1",
"use_cache": false,
"use_sliding_window": false,
"vocab_size": 152064
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assistant_tag: assistant
bf16: 'True'
content_tag: value
cutoff_len: '16384'
dataloader_num_workers: '4'
dataloader_persistent_workers: 'True'
dataloader_pin_memory: 'True'
dataset: mlfoundations-dev/openthoughts_1000
dataset_dir: ONLINE
ddp_timeout: '180000000'
deepspeed: /opt/ml/code/zero3.json
do_train: 'True'
enable_liger_kernel: 'True'
finetuning_type: full
formatting: sharegpt
global_batch_size: '64'
gradient_accumulation_steps: '8'
hub_model_id: mlfoundations-dev/1k_globalbatchsize64_lr5e6_epochs3
learning_rate: 5e-06
logging_steps: '1'
lr_scheduler_type: cosine
messages: conversations
model_name_or_path: Qwen/Qwen2.5-7B-Instruct
num_train_epochs: '3.0'
output_dir: /opt/ml/model
overwrite_cache: 'True'
per_device_train_batch_size: '1'
plot_loss: 'True'
preprocessing_num_workers: '16'
push_to_db: 'True'
push_to_hub: 'True'
report_to: wandb
role_tag: from
run_name: 1k_globalbatchsize64_lr5e6_epochs3
save_strategy: epoch
stage: sft
template: qwen25
user_tag: user
warmup_ratio: '0.1'

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