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Scale-or-Reason/gemma3-4B_0.75_split

sourceHugging Faceupdated 10mo agoView on Hugging Face
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<!-- 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. -->

<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/> <details><summary>See axolotl config</summary>

axolotl version: 0.12.2

yaml
base_model: /lustre/fswork/projects/rech/qwv/udv55np/Gemma/base/gemma-3-4b

datasets:
- path: /lustre/fswork/projects/rech/qwv/udv55np/dataset/ift/Nemotron-Super-49B-v1_5/no_thinking
  ds_type: json
  type: chat_template
  field_messages: conversations
  data_files:
  - /lustre/fswork/projects/rech/qwv/udv55np/dataset/ift/Nemotron-Super-49B-v1_5/no_thinking/0004.jsonl
  - /lustre/fswork/projects/rech/qwv/udv55np/dataset/ift/Nemotron-Super-49B-v1_5/no_thinking/0011.jsonl
  - /lustre/fswork/projects/rech/qwv/udv55np/dataset/ift/Nemotron-Super-49B-v1_5/no_thinking/0000.jsonl
  - /lustre/fswork/projects/rech/qwv/udv55np/dataset/ift/Nemotron-Super-49B-v1_5/no_thinking/0003.jsonl
- path: /lustre/fswork/projects/rech/qwv/udv55np/dataset/ift/Nemotron-Super-49B-v1_5/thinking
  ds_type: json
  type: chat_template
  field_messages: conversations
  data_files:
  - /lustre/fswork/projects/rech/qwv/udv55np/dataset/ift/Nemotron-Super-49B-v1_5/thinking/0007.jsonl
  - /lustre/fswork/projects/rech/qwv/udv55np/dataset/ift/Nemotron-Super-49B-v1_5/thinking/0009.jsonl
  - /lustre/fswork/projects/rech/qwv/udv55np/dataset/ift/Nemotron-Super-49B-v1_5/thinking/0005.jsonl
  - /lustre/fswork/projects/rech/qwv/udv55np/dataset/ift/Nemotron-Super-49B-v1_5/thinking/0006.jsonl
  - /lustre/fswork/projects/rech/qwv/udv55np/dataset/ift/Nemotron-Super-49B-v1_5/thinking/0014.jsonl
  - /lustre/fswork/projects/rech/qwv/udv55np/dataset/ift/Nemotron-Super-49B-v1_5/thinking/0010.jsonl
  - /lustre/fswork/projects/rech/qwv/udv55np/dataset/ift/Nemotron-Super-49B-v1_5/thinking/0012.jsonl
  - /lustre/fswork/projects/rech/qwv/udv55np/dataset/ift/Nemotron-Super-49B-v1_5/thinking/0008.jsonl
  - /lustre/fswork/projects/rech/qwv/udv55np/dataset/ift/Nemotron-Super-49B-v1_5/thinking/0001.jsonl
  - /lustre/fswork/projects/rech/qwv/udv55np/dataset/ift/Nemotron-Super-49B-v1_5/thinking/0002.jsonl
  - /lustre/fswork/projects/rech/qwv/udv55np/dataset/ift/Nemotron-Super-49B-v1_5/thinking/0013.jsonl
  - /lustre/fswork/projects/rech/qwv/udv55np/dataset/ift/Nemotron-Super-49B-v1_5/thinking/0015.jsonl

shuffle_merged_datasets: false
shuffle_before_merging_datasets: true
dataset_prepared_path: /lustre/fswork/projects/rech/dgo/udv55np/dataset_gemma/Nemotron-Super-49B-v1_5/split_0.75
tokenizer_config: "/lustre/fswork/projects/rech/qwv/udv55np/Gemma/base/gemma-3-27b"
chat_template: gemma3
eot_tokens:
  - "<end_of_turn>"

output_dir: /lustre/fswork/projects/rech/dgo/udv55np/ift/Nemotron-Super-49B-v1_5/gemma-3-4b/0.75

sequence_len: 16384
sample_packing: true
sample_packing_sequentially: true
curriculum_sampling: true

gradient_accumulation_steps: 1
micro_batch_size: 1
num_epochs: 0.6
auto_resume_from_checkpoints: true

optimizer: adamw_torch_fused
lr_scheduler: warmup_stable_decay
learning_rate: 5e-6
lr_scheduler_kwargs:
  num_decay_steps: 200
  min_lr_ratio: 0.1
warmup_steps: 100

bf16: true
tf32: false

gradient_checkpointing: true
logging_steps: 10
flash_attention: true

evals_per_epoch: 0
saves_per_epoch: 1
save_total_limit: 20
save_only_model: true

dataset_processes: 32
dataloader_num_workers: 2

use_tensorboard: true
deepspeed: /lustre/fswork/projects/rech/qwv/udv55np/axolotl/zero3.json

</details><br>

lustre/fswork/projects/rech/dgo/udv55np/ift/Nemotron-Super-49B-v1_5/gemma-3-4b/0.75

This model was trained from scratch on the None 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
  • —trainbatchsize: 1
  • —evalbatchsize: 1
  • —seed: 42
  • —distributed_type: multi-GPU
  • —num_devices: 16
  • —totaltrainbatch_size: 16
  • —totalevalbatch_size: 16
  • —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • —lrschedulertype: warmupstabledecay
  • —lrschedulerwarmup_steps: 100
  • —training_steps: 2984

Training results

Framework versions

  • —Transformers 4.55.2
  • —Pytorch 2.6.0+cu124
  • —Datasets 4.0.0
  • —Tokenizers 0.21.1