End of training

README.md

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+---
+license: gemma
+library_name: peft
+tags:
+- axolotl
+- generated_from_trainer
+base_model: google/gemma-2b
+model-index:
+- name: gemma_odia_2b_v1
+  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: `0.4.0`
+```yaml
+base_model: google/gemma-2b
+model_type: AutoModelForCausalLM
+tokenizer_type: AutoTokenizer
+
+load_in_8bit: false
+load_in_4bit: true
+strict: false
+
+datasets:
+  - path: OdiaGenAIdata/culturax-odia
+    type: completion
+    field: text
+dataset_prepared_path:
+val_set_size: 0.1
+output_dir: ./gemma-odia-2b-pretrain-v1
+hub_model_id: sam2ai/gemma_odia_2b_v1
+
+adapter: qlora
+lora_model_dir:
+
+sequence_len: 4096
+sample_packing: true
+pad_to_sequence_len: true
+
+wandb_project: gemma-completion-2b-odia-v1
+wandb_entity:
+wandb_watch:
+wandb_name:
+wandb_log_model:
+
+lora_r: 64
+lora_alpha: 128
+lora_dropout: 0.05
+lora_target_modules:
+  - q_proj
+  - v_proj
+  - k_proj
+  - o_proj
+  - gate_proj
+  - down_proj
+  - up_proj
+lora_modules_to_save:
+  - embed_tokens
+  - lm_head
+lora_target_linear: true
+lora_fan_in_fan_out:
+
+gradient_accumulation_steps: 8
+micro_batch_size: 2
+num_epochs: 2
+optimizer: adamw_bnb_8bit
+lr_scheduler: cosine
+learning_rate: 0.0002
+
+train_on_inputs: false
+group_by_length: false
+bf16: false
+fp16: false
+tf32: false
+
+gradient_checkpointing: true
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention: False
+
+warmup_ratio: 0.1
+evals_per_epoch: 4
+eval_table_size:
+eval_max_new_tokens: 128
+eval_sample_packing: False
+saves_per_epoch: 1
+debug:
+deepspeed:
+weight_decay: 0.0
+fsdp:
+fsdp_config:
+special_tokens:
+
+save_safetensors: True
+
+
+```
+
+</details><br>
+
+# gemma_odia_2b_v1
+
+This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.2357
+
+## 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
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 128
+- total_eval_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 6
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 48.3861       | 0.0   | 1    | 48.2747         |
+| 3.3986        | 0.25  | 169  | 3.2901          |
+| 3.3659        | 0.5   | 338  | 3.2334          |
+| 3.1731        | 0.75  | 507  | 3.0614          |
+| 3.1942        | 1.0   | 676  | 3.0977          |
+| 3.3983        | 1.24  | 845  | 3.3234          |
+| 3.3853        | 1.49  | 1014 | 3.2983          |
+| 3.3254        | 1.74  | 1183 | 3.2357          |
+
+
+### Framework versions
+
+- PEFT 0.9.0
+- Transformers 4.40.0.dev0
+- Pytorch 2.4.0.dev20240326+rocm6.0
+- Datasets 2.18.0
+- Tokenizers 0.15.0