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Sponsored by
APIMart
AlexHung29629 / dfjbvheriuer
Model's Last Updated: March 27 2026
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Introduction of dfjbvheriuer
Model Details of dfjbvheriuer
See axolotl config
axolotl version:
0.16.0.dev0
base_model: mistralai/Ministral-3-3B-Instruct-2512-BF16
# Enable to use mistral-common tokenizer
tokenizer_use_mistral_common: false
# Automatically upload checkpoint and final model to HF
# hub_model_id: username/custom_model_name
plugins:
- axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin
datasets:
- path: AlexHung29629/test_data_123
type:
system_prompt: ""
field_system: system
field_instruction: input
field_output: output
format: "{instruction}"
no_input_format: "{instruction}"
unfrozen_parameters:
- ^model.language_model.norm.weight$
- ^model.language_model.layers.2[0-5].[.a-z_]+$
#model.language_model.layers.25.post_attention_layernorm.weight
dataset_prepared_path: last_run_prepared
val_set_size: 0.0
output_dir: ./outputs/out
dataloader_num_workers: 0
sequence_len: 32768
sample_packing: true
gradient_accumulation_steps: 1
micro_batch_size: 1
num_epochs: 2
optimizer: adamw_bnb_8bit
lr_scheduler: constant
max_grad_norm: 1.0
learning_rate: 2e-5
bf16: auto
tf32: false
gradient_checkpointing: true
resume_from_checkpoint:
logging_steps: 1
#flash_attention: true
flex_attention: true
scaling_softmax: true
warmup_ratio: 0.0
evals_per_epoch: 1
saves_per_epoch: 1
# save_first_step: true # uncomment this to validate checkpoint saving works with your config
outputs/out
This model is a fine-tuned version of mistralai/Ministral-3-3B-Instruct-2512-BF16 on the AlexHung29629/test_data_123 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: 2e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant
- training_steps: 24
Training results
Framework versions
- Transformers 5.3.0
- Pytorch 2.9.1+cu128
- Datasets 4.5.0
- Tokenizers 0.22.2
Runs of AlexHung29629 dfjbvheriuer on huggingface.co
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More Information About dfjbvheriuer huggingface.co Model
Url of dfjbvheriuer
dfjbvheriuer huggingface.co Url
Provider of dfjbvheriuer huggingface.co
Other API from AlexHung29629
Updated:October 31 2024
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