End of training
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README.md
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---
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library_name: transformers
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license: cc-by-nc-4.0
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base_model: hardlyworking/4Brp
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tags:
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- axolotl
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- generated_from_trainer
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datasets:
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- PocketDoc/Dans-Prosemaxx-RepRemover-1
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model-index:
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- name: 4Brepremover
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
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<details><summary>See axolotl config</summary>
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axolotl version: `0.11.0.dev0`
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```yaml
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base_model: hardlyworking/4Brp
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load_in_8bit: false
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load_in_4bit: false
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strict: false
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datasets:
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- path: PocketDoc/Dans-Prosemaxx-RepRemover-1
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type: dan-chat-advanced
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val_set_size: 0
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output_dir: ./outputs/out
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dataset_prepared_path: last_run_prepared
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shuffle_merged_datasets: true
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hub_model_id: hardlyworking/4Brepremover
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hub_strategy: "all_checkpoints"
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push_dataset_to_hub:
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hf_use_auth_token: true
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plugins:
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- axolotl.integrations.liger.LigerPlugin
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- axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin
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liger_rope: true
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liger_rms_norm: true
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liger_layer_norm: true
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liger_glu_activation: true
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liger_fused_linear_cross_entropy: false
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cut_cross_entropy: true
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sequence_len: 32768
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sample_packing: true
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eval_sample_packing: true
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pad_to_sequence_len: true
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wandb_project: new4B
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wandb_entity:
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wandb_watch:
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wandb_name: new4Brep
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wandb_log_model:
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evals_per_epoch:
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eval_table_size:
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eval_max_new_tokens:
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gradient_accumulation_steps: 1
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micro_batch_size: 8
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num_epochs: 3
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optimizer: adamw_bnb_8bit
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lr_scheduler: cosine
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learning_rate: 1e-5
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train_on_inputs: false
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group_by_length: false
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bf16: auto
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fp16:
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tf32: false
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gradient_checkpointing: offload
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gradient_checkpointing_kwargs:
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use_reentrant: false
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early_stopping_patience:
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resume_from_checkpoint:
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local_rank:
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logging_steps: 1
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xformers_attention:
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flash_attention: true
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s2_attention:
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deepspeed:
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warmup_ratio: 0.05
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saves_per_epoch: 1
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debug:
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weight_decay: 0.01
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fsdp:
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fsdp_config:
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special_tokens:
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pad_token: <|endoftext|>
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```
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</details><br>
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# 4Brepremover
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This model is a fine-tuned version of [hardlyworking/4Brp](https://huggingface.co/hardlyworking/4Brp) on the PocketDoc/Dans-Prosemaxx-RepRemover-1 dataset.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_steps: 8
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- training_steps: 174
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### Training results
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### Framework versions
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- Transformers 4.53.1
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- Pytorch 2.6.0+cu126
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- Datasets 3.6.0
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- Tokenizers 0.21.2
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