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--- |
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license: other |
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base_model: stabilityai/stablelm-2-1_6b |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: stablelm_1-6b_ContextSplitter |
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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/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl) |
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<details><summary>See axolotl config</summary> |
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axolotl version: `0.4.0` |
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```yaml |
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base_model: stabilityai/stablelm-2-1_6b |
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base_model_config: stabilityai/stablelm-2-1_6b |
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model_type: StableLMEpochForCausalLM |
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tokenizer_type: AutoTokenizer |
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trust_remote_code: 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: /run/media/username/Storage/datasets/repo/alpaca/context-aware-splits-english_new.json |
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type: alpaca |
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dataset_prepared_path: stablelm_1-6b_ContextSplitter_data |
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val_set_size: 0.02 |
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output_dir: ./stablelm_1-6b_ContextSplitter |
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sequence_len: 4096 |
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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: stablelm_1-6b_ContextSplitter |
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wandb_entity: |
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wandb_watch: |
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wandb_name: |
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wandb_log_model: |
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gradient_accumulation_steps: 1 |
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micro_batch_size: 1 |
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num_epochs: 1 |
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optimizer: paged_adamw_32bit |
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lr_scheduler: cosine |
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learning_rate: 0.00001 |
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train_on_inputs: false |
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group_by_length: false |
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bf16: true |
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fp16: false |
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tf32: false |
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gradient_checkpointing: true |
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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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flash_attn_cross_entropy: false |
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flash_attn_rms_norm: true |
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flash_attn_fuse_qkv: false |
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flash_attn_fuse_mlp: true |
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warmup_steps: 100 |
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evals_per_epoch: 30 |
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eval_table_size: |
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saves_per_epoch: 4 |
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debug: |
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deepspeed: #deepspeed_configs/zero2.json # multi-gpu only |
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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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# stablelm_1-6b_ContextSplitter |
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This model is a fine-tuned version of [stabilityai/stablelm-2-1_6b](https://huggingface.co/stabilityai/stablelm-2-1_6b) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0377 |
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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: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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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: 100 |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.1781 | 0.0 | 1 | 0.2283 | |
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| 0.0709 | 0.03 | 248 | 0.0589 | |
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| 0.0274 | 0.07 | 496 | 0.0512 | |
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| 0.0614 | 0.1 | 744 | 0.0480 | |
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| 0.0266 | 0.13 | 992 | 0.0466 | |
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| 0.0471 | 0.17 | 1240 | 0.0440 | |
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| 0.0425 | 0.2 | 1488 | 0.0435 | |
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| 0.1172 | 0.23 | 1736 | 0.0423 | |
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| 0.0322 | 0.27 | 1984 | 0.0415 | |
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| 0.0529 | 0.3 | 2232 | 0.0413 | |
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| 0.0296 | 0.33 | 2480 | 0.0409 | |
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| 0.0357 | 0.37 | 2728 | 0.0398 | |
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| 0.0242 | 0.4 | 2976 | 0.0394 | |
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| 0.0266 | 0.43 | 3224 | 0.0391 | |
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| 0.0292 | 0.47 | 3472 | 0.0386 | |
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| 0.0261 | 0.5 | 3720 | 0.0386 | |
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| 0.0382 | 0.53 | 3968 | 0.0383 | |
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| 0.0378 | 0.57 | 4216 | 0.0383 | |
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| 0.0345 | 0.6 | 4464 | 0.0379 | |
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| 0.0467 | 0.64 | 4712 | 0.0379 | |
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| 0.0542 | 0.67 | 4960 | 0.0378 | |
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| 0.0317 | 0.7 | 5208 | 0.0378 | |
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| 0.0363 | 0.74 | 5456 | 0.0377 | |
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| 0.054 | 0.77 | 5704 | 0.0377 | |
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| 0.0207 | 0.8 | 5952 | 0.0377 | |
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| 0.0302 | 0.84 | 6200 | 0.0377 | |
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| 0.0427 | 0.87 | 6448 | 0.0377 | |
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| 0.0278 | 0.9 | 6696 | 0.0377 | |
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| 0.0648 | 0.94 | 6944 | 0.0377 | |
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| 0.0497 | 0.97 | 7192 | 0.0377 | |
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### Framework versions |
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- Transformers 4.38.0.dev0 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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