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--- |
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base_model: BeaverAI/Theia-21B-v2a |
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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: Theia-21B-v2b-WS |
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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: `0.4.1` |
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```yaml |
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base_model: BeaverAI/Theia-21B-v2a |
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model_type: AutoModelForCausalLM |
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tokenizer_type: AutoTokenizer |
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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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sequence_len: 16384 |
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bf16: auto |
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fp16: |
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tf32: false |
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flash_attention: true |
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special_tokens: |
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pad_token: "<pad>" |
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tokens: |
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- "<|im_start|>" |
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- "<|im_end|>" |
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# PLAN |
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# instruct = mistral |
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# siayn = alpaca |
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# RP = chatml |
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# Data |
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datasets: |
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- path: BeaverAI/saosauce-v2-creative-only |
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type: sharegpt |
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conversation: chatml |
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warmup_steps: 150 |
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save_safetensors: true |
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mlflow_tracking_uri: http://127.0.0.1:7860 |
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mlflow_experiment_name: Default |
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# WandB |
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#wandb_project: theia |
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#wandb_entity: |
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# Iterations |
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num_epochs: 2 |
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# Output |
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output_dir: ./Theia-21B-v2b-Workspace |
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hub_model_id: BeaverAI/Theia-21B-v2b-WS |
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hub_strategy: "all_checkpoints" |
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# Sampling |
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sample_packing: true |
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pad_to_sequence_len: true |
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# Batching |
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gradient_accumulation_steps: 1 |
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micro_batch_size: 1 |
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gradient_checkpointing: true |
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gradient_checkpointing_kwargs: |
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use_reentrant: true |
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# Evaluation |
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val_set_size: 0.025 |
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evals_per_epoch: 4 |
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eval_table_size: |
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eval_max_new_tokens: 256 |
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eval_sample_packing: false |
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eval_batch_size: 1 |
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# Optimizer |
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optimizer: paged_adamw_8bit # adamw_8bit |
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lr_scheduler: cosine |
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learning_rate: 0.0000025 |
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lr_scheduler: cosine_with_min_lr |
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lr_scheduler_kwargs: |
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min_lr: 0.00000025 |
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weight_decay: 0.01 |
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max_grad_norm: 10.0 |
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# Misc |
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train_on_inputs: false |
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group_by_length: false |
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early_stopping_patience: |
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local_rank: |
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logging_steps: 1 |
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xformers_attention: |
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debug: |
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deepspeed: deepspeed_configs/zero3_bf16.json # previously blank |
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fsdp: |
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fsdp_config: |
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# Checkpoints |
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resume_from_checkpoint: |
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saves_per_epoch: 1 |
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``` |
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</details><br> |
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# Theia-21B-v2b-WS |
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This model is a fine-tuned version of [BeaverAI/Theia-21B-v2a](https://huggingface.co/BeaverAI/Theia-21B-v2a) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.0491 |
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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: 2.5e-06 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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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: 8 |
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- total_eval_batch_size: 8 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine_with_min_lr |
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- lr_scheduler_warmup_steps: 150 |
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- num_epochs: 2 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 1.5956 | 0.0030 | 1 | 1.5014 | |
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| 1.2309 | 0.2508 | 83 | 1.2064 | |
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| 1.1063 | 0.5015 | 166 | 1.1376 | |
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| 1.1885 | 0.7523 | 249 | 1.1021 | |
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| 1.1518 | 1.0030 | 332 | 1.0772 | |
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| 0.9328 | 1.2356 | 415 | 1.0693 | |
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| 0.9149 | 1.4864 | 498 | 1.0569 | |
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| 0.9377 | 1.7372 | 581 | 1.0491 | |
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### Framework versions |
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- Transformers 4.44.0.dev0 |
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- Pytorch 2.2.2 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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