End of training
Browse files- README.md +159 -0
- adapter_model.bin +3 -0
README.md
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---
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license: apache-2.0
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library_name: peft
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tags:
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- axolotl
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- generated_from_trainer
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base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
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model-index:
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- name: axolotl-example-A
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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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# Upload the final model to Huggingface
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hub_model_id: Jon-Biz/axolotl-example-A
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# Store the training logs in weights and biases
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wandb_entity: jonbiz
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wandb_project: tinyllama-1.1B_alpaca_2k_lora
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base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
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model_type: LlamaForCausalLM
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tokenizer_type: LlamaTokenizer
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load_in_8bit: true
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load_in_4bit: false
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strict: false
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datasets:
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- path: mhenrichsen/alpaca_2k_test
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type: alpaca
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dataset_prepared_path:
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val_set_size: 0.05
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output_dir: ./outputs/lora-out
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sequence_len: 4096
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sample_packing: true
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eval_sample_packing: false
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pad_to_sequence_len: true
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adapter: lora
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lora_model_dir:
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lora_r: 32
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lora_alpha: 16
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lora_dropout: 0.05
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lora_target_linear: true
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lora_fan_in_fan_out:
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wandb_project:
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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: 4
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micro_batch_size: 2
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num_epochs: 4
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optimizer: adamw_bnb_8bit
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lr_scheduler: cosine
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learning_rate: 0.0002
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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: 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_steps: 10
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evals_per_epoch: 4
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saves_per_epoch: 1
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debug:
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deepspeed:
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weight_decay: 0.0
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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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# axolotl-example-A
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This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T](https://huggingface.co/TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.2126
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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: 0.0002
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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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- gradient_accumulation_steps: 4
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- total_train_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
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- lr_scheduler_warmup_steps: 10
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- num_epochs: 4
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 1.4615 | 0.08 | 1 | 1.4899 |
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| 1.3853 | 0.24 | 3 | 1.4875 |
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| 1.3666 | 0.48 | 6 | 1.4399 |
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| 1.2683 | 0.72 | 9 | 1.3400 |
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| 1.2268 | 0.96 | 12 | 1.2948 |
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| 1.2512 | 1.16 | 15 | 1.2798 |
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| 1.2258 | 1.4 | 18 | 1.2542 |
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| 1.1351 | 1.6400 | 21 | 1.2364 |
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| 1.2706 | 1.88 | 24 | 1.2267 |
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| 1.1476 | 2.08 | 27 | 1.2245 |
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| 1.1514 | 2.32 | 30 | 1.2243 |
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| 1.1941 | 2.56 | 33 | 1.2191 |
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| 1.1119 | 2.8 | 36 | 1.2150 |
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| 1.1515 | 3.04 | 39 | 1.2142 |
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| 1.1881 | 3.24 | 42 | 1.2114 |
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| 1.1006 | 3.48 | 45 | 1.2152 |
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| 1.1884 | 3.7200 | 48 | 1.2126 |
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### Framework versions
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- PEFT 0.10.0
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- Transformers 4.40.2
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- Pytorch 2.1.2+cu118
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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adapter_model.bin
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:2a0ceb30c3b0e9e853f011c46d426c454f2f232baa526a69af0da6e0a7eadcb6
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size 101036698
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