End of training

README.md

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+---
+license: apache-2.0
+library_name: peft
+tags:
+- axolotl
+- generated_from_trainer
+base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
+model-index:
+- name: tinyllama-1.1B_alpaca_2k_lora
+  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
+# Upload the final model to Huggingface
+hub_model_id: shalini03/tinyllama-1.1B_alpaca_2k_lora
+
+# Store the training logs in weights and biases
+#wandb_entity: shalini_03
+#wandb_project: ft_tinyllama-1.1B_alpaca_2k_lora
+
+# The rest of this config stays the same:
+base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
+model_type: LlamaForCausalLM
+tokenizer_type: LlamaTokenizer
+
+load_in_8bit: true
+load_in_4bit: false
+strict: false
+
+datasets:
+  - path: mhenrichsen/alpaca_2k_test
+    type: alpaca
+dataset_prepared_path:
+val_set_size: 0.05
+output_dir: ./outputs/lora-out
+
+sequence_len: 4096
+sample_packing: true
+eval_sample_packing: false
+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:
+
+gradient_accumulation_steps: 4
+micro_batch_size: 2
+num_epochs: 4
+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
+
+warmup_steps: 10
+evals_per_epoch: 4
+saves_per_epoch: 1
+debug:
+deepspeed:
+weight_decay: 0.0
+fsdp:
+fsdp_config:
+special_tokens:
+```
+
+</details><br>
+
+# tinyllama-1.1B_alpaca_2k_lora
+
+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.
+It achieves the following results on the evaluation set:
+- Loss: 1.2111
+
+## 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: 4
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.4615        | 0.0816 | 1    | 1.4899          |
+| 1.3851        | 0.2449 | 3    | 1.4869          |
+| 1.3658        | 0.4898 | 6    | 1.4376          |
+| 1.2683        | 0.7347 | 9    | 1.3399          |
+| 1.2259        | 0.9796 | 12   | 1.2956          |
+| 1.2523        | 1.1633 | 15   | 1.2787          |
+| 1.2271        | 1.4082 | 18   | 1.2527          |
+| 1.1348        | 1.6531 | 21   | 1.2336          |
+| 1.2694        | 1.8980 | 24   | 1.2286          |
+| 1.1484        | 2.0816 | 27   | 1.2224          |
+| 1.1527        | 2.3265 | 30   | 1.2214          |
+| 1.1937        | 2.5714 | 33   | 1.2187          |
+| 1.1121        | 2.8163 | 36   | 1.2150          |
+| 1.1517        | 3.0612 | 39   | 1.2147          |
+| 1.1888        | 3.2449 | 42   | 1.2107          |
+| 1.1002        | 3.4898 | 45   | 1.2122          |
+| 1.1884        | 3.7347 | 48   | 1.2111          |
+
+
+### Framework versions
+
+- PEFT 0.11.1
+- Transformers 4.41.1
+- Pytorch 2.1.2+cu118
+- Datasets 2.19.1
+- Tokenizers 0.19.1

adapter_model.bin

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