End of training

README.md

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+---
+library_name: peft
+license: gemma
+base_model: google/gemma-2-2b-it
+tags:
+- axolotl
+- generated_from_trainer
+model-index:
+- name: gemma-2-2b-it-dolly-15k
+  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/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
+<details><summary>See axolotl config</summary>
+
+axolotl version: `0.5.2`
+```yaml
+base_model: google/gemma-2-2b-it
+hub_model_id: kweinmeister/gemma-2-2b-it-dolly-15k
+
+load_in_8bit: false
+load_in_4bit: true
+strict: false
+
+datasets:
+  - path: databricks/databricks-dolly-15k
+    type:
+      field_instruction: instruction       
+      field_input: context
+      field_output: response
+val_set_size: 0.05
+
+sequence_len: 2048
+sample_packing: true
+eval_sample_packing: true
+pad_to_sequence_len: true
+
+adapter: qlora
+lora_model_dir:
+lora_r: 32
+lora_alpha: 64
+lora_dropout: 0.05
+lora_target_linear: true
+lora_fan_in_fan_out:
+
+wandb_project: gemma-2-2b-it-dolly-15k
+wandb_entity:
+wandb_watch:
+wandb_name:
+wandb_log_model:
+
+gradient_accumulation_steps: 4
+micro_batch_size: 1
+num_epochs: 1
+optimizer: adamw_torch
+lr_scheduler: cosine
+learning_rate: 0.0002
+
+train_on_inputs: false
+group_by_length: false
+bf16: auto
+fp16:
+tf32: true
+
+gradient_checkpointing: true
+gradient_checkpointing_kwargs:
+  use_reentrant: true
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: false
+
+warmup_steps: 10
+evals_per_epoch: 4
+saves_per_epoch: 1
+debug:
+deepspeed: deepspeed_configs/zero1.json
+weight_decay: 0.0
+fsdp:
+fsdp_config:
+special_tokens:
+output_dir: "/mnt/disks/gcs/axolotl/runs/google--gemma-2-2b-it-20250101-144050/out/"
+dataset_prepared_path: "/mnt/disks/gcs/axolotl/last_run_prepared"
+
+```
+
+</details><br>
+
+# gemma-2-2b-it-dolly-15k
+
+This model is a fine-tuned version of [google/gemma-2-2b-it](https://huggingface.co/google/gemma-2-2b-it) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.7389
+
+## 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: 1
+- eval_batch_size: 1
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 2
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 8
+- total_eval_batch_size: 2
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 10
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 5.7033        | 0.0061 | 1    | 5.5100          |
+| 1.8197        | 0.2492 | 41   | 1.8752          |
+| 1.6386        | 0.4985 | 82   | 1.7666          |
+| 1.7346        | 0.7477 | 123  | 1.7436          |
+| 1.7742        | 0.9970 | 164  | 1.7389          |
+
+
+### Framework versions
+
+- PEFT 0.13.2
+- Transformers 4.46.3
+- Pytorch 2.4.1+cu124
+- Datasets 3.1.0
+- Tokenizers 0.20.3

adapter_model.bin

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