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--- |
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library_name: transformers |
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base_model: Qwen/Qwen2.5-14B |
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tags: |
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- axolotl |
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- generated_from_trainer |
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model-index: |
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- name: medius-erebus-magnum-14b |
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results: [] |
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--- |
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### exl2 quant (measurement.json in main branch) |
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--- |
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### check revisions for quants |
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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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axolotl version: `0.4.1` |
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```yaml |
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base_model: /workspace/medius-erebus |
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model_type: AutoModelForCausalLM |
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tokenizer_type: AutoTokenizer |
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hub_model_id: magnum-erebus-14b-v1 |
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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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liger_rope: true |
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liger_rms_norm: true |
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liger_swiglu: true |
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liger_fused_linear_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: anthracite-core/c2_logs_32k_llama3_qwen2_v1.2 |
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type: sharegpt |
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- path: anthracite-org/kalo-opus-instruct-22k-no-refusal |
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type: sharegpt |
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- path: lodrick-the-lafted/kalo-opus-instruct-3k-filtered |
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type: sharegpt |
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- path: anthracite-org/nopm_claude_writing_fixed |
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type: sharegpt |
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- path: anthracite-org/kalo_opus_misc_240827 |
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type: sharegpt |
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- path: anthracite-org/kalo_misc_part2 |
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type: sharegpt |
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chat_template: chatml |
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shuffle_merged_datasets: true |
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default_system_message: "You are an assistant that responds to the user." |
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dataset_prepared_path: /workspace/data/magnum-14b-data |
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val_set_size: 0.0 |
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output_dir: /workspace/data/magnum-erebus-14b-fft |
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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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adapter: |
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lora_model_dir: |
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lora_r: |
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lora_alpha: |
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lora_dropout: |
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lora_target_linear: |
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lora_fan_in_fan_out: |
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wandb_project: 14b-magnum-fft |
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wandb_entity: |
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wandb_watch: |
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wandb_name: v4-r2-erebus-attempt-1 |
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wandb_log_model: |
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gradient_accumulation_steps: 1 |
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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: 0.000008 |
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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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evals_per_epoch: |
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eval_table_size: |
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eval_max_new_tokens: |
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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: 0.1 |
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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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# medius-erebus-magnum |
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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: 8e-06 |
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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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- total_train_batch_size: 16 |
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- total_eval_batch_size: 16 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 40 |
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- num_epochs: 2 |
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### Training results |
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### Framework versions |
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- Transformers 4.45.1 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.20.0 |
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