| | --- |
| | base_model: NousResearch/Llama-2-7b-hf |
| | library_name: peft |
| | tags: |
| | - axolotl |
| | - generated_from_trainer |
| | model-index: |
| | - name: answer-emojis |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | [<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) |
| | <details><summary>See axolotl config</summary> |
| |
|
| | axolotl version: `0.4.1` |
| | ```yaml |
| | base_model: NousResearch/Llama-2-7b-hf |
| | model_type: LlamaForCausalLM |
| | tokenizer_type: LlamaTokenizer |
| | |
| | load_in_8bit: true |
| | load_in_4bit: false |
| | strict: false |
| | |
| | datasets: |
| | - path: formatted_math_ratio_02_emojianswers_10k.jsonl |
| | ds_type: json |
| | type: alpaca |
| | val_set_size: 0.05 |
| | dataset_prepared_path: |
| | output_dir: ./outputs/ppml-formatted |
| | |
| | hf_use_auth_token: True |
| | hub_model_id: Ritual-Net/answer-emojis |
| | hub_strategy: all_checkpoints |
| | |
| | eval_sample_packing: False |
| | |
| | |
| | sequence_len: 4096 |
| | sample_packing: true |
| | pad_to_sequence_len: true |
| | |
| | adapter: lora |
| | lora_model_dir: |
| | lora_r: 32 |
| | lora_alpha: 16 |
| | lora_dropout: 0.05 |
| | lora_target_linear: true |
| | lora_fan_in_fan_out: |
| | |
| | wandb_project: ppml |
| | wandb_entity: ritualnah |
| | wandb_watch: |
| | wandb_name: emojianswers |
| | wandb_log_model: "checkpoint" |
| | |
| | lora_modules_to_save: |
| | - embed_tokens |
| | - lm_head |
| | |
| | |
| | gradient_accumulation_steps: 4 |
| | micro_batch_size: 2 |
| | num_epochs: 3 |
| | optimizer: adamw_bnb_8bit |
| | lr_scheduler: cosine |
| | learning_rate: 0.0002 |
| | |
| | train_on_inputs: false |
| | group_by_length: false |
| | bf16: auto |
| | fp16: |
| | tf32: false |
| | |
| | gradient_checkpointing: true |
| | early_stopping_patience: |
| | resume_from_checkpoint: |
| | local_rank: |
| | logging_steps: 1 |
| | xformers_attention: |
| | flash_attention: true |
| | s2_attention: |
| | |
| | warmup_steps: 10 |
| | evals_per_epoch: 2 |
| | eval_table_size: |
| | eval_max_new_tokens: 128 |
| | saves_every_epoch: 1 |
| | debug: |
| | deepspeed: |
| | weight_decay: 0.0 |
| | fsdp: |
| | fsdp_config: |
| | special_tokens: |
| | special_tokens: |
| | bos_token: "<s>" |
| | eos_token: "</s>" |
| | unk_token: "<unk>" |
| | tokens: # these are delimiters |
| | - "[INST]" |
| | - "[/INST]" |
| | ``` |
| |
|
| | </details><br> |
| |
|
| | [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/ritualnah/ppml/runs/3q9smy0v) |
| | # answer-emojis |
| |
|
| | This model is a fine-tuned version of [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/Llama-2-7b-hf) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.5239 |
| |
|
| | ## Model description |
| |
|
| | More information needed |
| |
|
| | ## Intended uses & limitations |
| |
|
| | More information needed |
| |
|
| | ## Training and evaluation data |
| |
|
| | More information needed |
| |
|
| | ## Training procedure |
| |
|
| | ### Training hyperparameters |
| |
|
| | The following hyperparameters were used during training: |
| | - learning_rate: 0.0002 |
| | - train_batch_size: 2 |
| | - eval_batch_size: 2 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 4 |
| | - total_train_batch_size: 8 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: cosine |
| | - lr_scheduler_warmup_steps: 10 |
| | - num_epochs: 3 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:------:|:----:|:---------------:| |
| | | 1.0155 | 0.0082 | 1 | 1.2302 | |
| | | 0.5161 | 0.5031 | 61 | 0.5744 | |
| | | 0.5398 | 1.0062 | 122 | 0.5379 | |
| | | 0.4614 | 1.4990 | 183 | 0.5295 | |
| | | 0.4323 | 2.0021 | 244 | 0.5178 | |
| | | 0.3823 | 2.4948 | 305 | 0.5239 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - PEFT 0.11.1 |
| | - Transformers 4.42.3 |
| | - Pytorch 2.1.2+cu118 |
| | - Datasets 2.19.1 |
| | - Tokenizers 0.19.1 |
