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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: out |
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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: /home/layla/src/text-generation-webui/models/phi-2 |
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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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datasets: |
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- path: /home/layla/src/Layla-datasets/datasets_formatted/base/dailydialog.topicalchat.teatime.openhermes.jsonl |
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ds_type: json # see other options below |
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type: sharegpt |
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conversation: vicuna_v1.1 |
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# datasets: |
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# - path: /home/layla/src/Layla-datasets/datasets_formatted/airoboros_alpaca.jsonl |
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# type: alpaca |
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dataset_prepared_path: last_run_prepared |
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val_set_size: 0.01 |
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output_dir: ./out |
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sequence_len: 2048 |
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sample_packing: true |
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pad_to_sequence_len: true |
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wandb_project: |
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wandb_entity: |
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wandb_watch: |
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wandb_run_id: |
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wandb_log_model: |
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gradient_accumulation_steps: 4 |
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micro_batch_size: 2 |
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num_epochs: 1 |
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optimizer: adamw_bnb_8bit |
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lr_scheduler: cosine |
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learning_rate: 0.0000005 |
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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: true |
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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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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_ratio: 0.05 |
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eval_steps: 0.1 |
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eval_sample_packing: true |
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save_steps: 300 |
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debug: |
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deepspeed: /home/layla/src/Layla-datasets/axolotl/configs/deepspeed/zero2.json # multi-gpu only |
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weight_decay: 0.0 |
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fsdp: |
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fsdp_config: |
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resize_token_embeddings_to_32x: true |
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special_tokens: |
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bos_token: "<|endoftext|>" |
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eos_token: "<|endoftext|>" |
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unk_token: "<|endoftext|>" |
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pad_token: "<|endoftext|>" |
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``` |
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</details><br> |
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# out |
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This model was trained from scratch on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8072 |
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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: 5e-07 |
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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: 5 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 40 |
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- total_eval_batch_size: 10 |
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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: 17 |
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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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| 0.9616 | 0.0 | 1 | 1.0031 | |
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| 0.9489 | 0.1 | 372 | 0.8825 | |
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| 0.987 | 0.2 | 744 | 0.8487 | |
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| 0.818 | 0.3 | 1116 | 0.8313 | |
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| 0.8389 | 0.4 | 1488 | 0.8212 | |
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| 0.9015 | 0.5 | 1860 | 0.8146 | |
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| 0.8237 | 0.6 | 2232 | 0.8108 | |
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| 0.7562 | 0.7 | 2604 | 0.8088 | |
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| 0.8776 | 0.8 | 2976 | 0.8078 | |
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| 0.8703 | 0.9 | 3348 | 0.8072 | |
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### Framework versions |
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- Transformers 4.39.0.dev0 |
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- Pytorch 2.2.0 |
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- Datasets 2.17.1 |
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- Tokenizers 0.15.0 |
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