Model save
Browse files- README.md +160 -0
- model-00001-of-00014.safetensors +1 -1
- model-00002-of-00014.safetensors +1 -1
- model-00003-of-00014.safetensors +1 -1
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- model-00005-of-00014.safetensors +1 -1
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README.md
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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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<!-- 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: `0.8.0.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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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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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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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-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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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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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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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: 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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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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</details><br>
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# 32b-mag
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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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## 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: 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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### Training results
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### Framework versions
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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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