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README.md ADDED
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+ ---
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+ library_name: transformers
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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-Personamaxx-Logs
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+ - anthracite-org/kalo-opus-instruct-22k-no-refusal
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+ - lodrick-the-lafted/kalo-opus-instruct-3k-filtered
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+ - anthracite-org/nopm_claude_writing_fixed
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+ - anthracite-org/kalo_opus_misc_240827
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+ - anthracite-org/kalo_misc_part2
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+ - NewEden/Claude-Instruct-5K
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+ - NewEden/Claude-Instruct-2.7K
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+ model-index:
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+ - name: 32b-mag
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+ results: []
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+ ---
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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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+
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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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+
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+ axolotl version: `0.8.0.dev0`
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+ ```yaml
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+ base_model: ./qwq
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+ model_type: AutoModelForCausalLM
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+ tokenizer_type: AutoTokenizer
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+
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+ hub_model_id: NewEden/32b-mag
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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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+
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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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+
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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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+
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+ datasets:
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+ - path: PocketDoc/Dans-Personamaxx-Logs
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+ type: dan-chat-advanced
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+ - path: anthracite-org/kalo-opus-instruct-22k-no-refusal
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+ type: dan-chat-advanced
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+ - path: lodrick-the-lafted/kalo-opus-instruct-3k-filtered
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+ type: dan-chat-advanced
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+ - path: anthracite-org/nopm_claude_writing_fixed
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+ type: dan-chat-advanced
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+ - path: anthracite-org/kalo_opus_misc_240827
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+ type: dan-chat-advanced
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+ - path: anthracite-org/kalo_misc_part2
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+ type: dan-chat-advanced
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+ - path: NewEden/Claude-Instruct-5K
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+ type: dan-chat-advanced
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+ - path: NewEden/Claude-Instruct-2.7K
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+ type: dan-chat-advanced
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+ dataset_prepared_path: prepared_data
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+ val_set_size: 0.0
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+ output_dir: ./qwq-mag
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+ sequence_len: 32768
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+ sample_packing: true
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+ pad_to_sequence_len: true
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+
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+ wandb_project: qwq
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+ wandb_entity:
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+ wandb_watch:
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+ wandb_name: mag-attempt-01
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+ wandb_log_model:
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+
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+ gradient_accumulation_steps: 2
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+ micro_batch_size: 2
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+ num_epochs: 2
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+ optimizer: adamw_bnb_8bit
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+ lr_scheduler: cosine
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+ learning_rate: 4e-5
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+ max_grad_norm: 1.0
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+
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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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+
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+ gradient_checkpointing: unsloth
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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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+
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+ warmup_steps: 40
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+ saves_per_epoch: 2
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+ debug:
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+ deepspeed: deepspeed_configs/zero3_bf16.json
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+ weight_decay: 0.02
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+ fsdp:
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+ fsdp_config:
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+ special_tokens:
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+
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+ ```
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+
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+ </details><br>
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+
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+ # 32b-mag
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+
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+ This model was trained from scratch on the PocketDoc/Dans-Personamaxx-Logs, the anthracite-org/kalo-opus-instruct-22k-no-refusal, the lodrick-the-lafted/kalo-opus-instruct-3k-filtered, the anthracite-org/nopm_claude_writing_fixed, the anthracite-org/kalo_opus_misc_240827, the anthracite-org/kalo_misc_part2, the NewEden/Claude-Instruct-5K and the NewEden/Claude-Instruct-2.7K datasets.
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 4e-05
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+ - train_batch_size: 2
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+ - eval_batch_size: 2
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - num_devices: 8
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 32
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+ - total_eval_batch_size: 16
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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: 40
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+ - num_epochs: 2.0
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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.49.0
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+ - Pytorch 2.6.0+cu124
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+ - Datasets 3.2.0
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+ - Tokenizers 0.21.0
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