sam2ai
/

qwen_1.5_odia_4b

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 ---
 library_name: peft
 base_model: Qwen/Qwen1.5-4B
 ---
-# Model Card for Model ID
-<!-- Provide a quick summary of what the model is/does. -->
-## Model Details
-### Model Description
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 ### Framework versions
-- PEFT 0.8.2

 ---
+license: other
 library_name: peft
+tags:
+- axolotl
+- generated_from_trainer
 base_model: Qwen/Qwen1.5-4B
+model-index:
+- name: qwen_1.5_odia_4b
+  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: Qwen/Qwen1.5-4B
+model_type: AutoModelForCausalLM
+tokenizer_type: AutoTokenizer
+# is_qwen_derived_model: true
+trust_remote_code: true
+load_in_8bit: false
+load_in_4bit: true
+strict: false
+datasets:
+  - path: OdiaGenAI/all_combined_odia_171k
+    type: alpaca:chatml
+dataset_prepared_path:
+val_set_size: 0.05
+output_dir: ./lora-out-qwen-4b-odia
+hub_model_id: sam2ai/qwen_1.5_odia_4b
+sequence_len: 2048  # supports up to 8192
+sample_packing: false
+pad_to_sequence_len:
+adapter: qlora
+lora_model_dir:
+lora_r: 32
+lora_alpha: 16
+lora_dropout: 0.05
+lora_target_linear: true
+lora_fan_in_fan_out:
+wandb_project: Qwen-instruct-4b-odia
+wandb_entity:
+wandb_watch:
+wandb_name:
+wandb_log_model:
+gradient_accumulation_steps: 2
+micro_batch_size: 1
+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: false
+early_stopping_patience:
+resume_from_checkpoint:
+local_rank:
+logging_steps: 1
+xformers_attention:
+flash_attention:
+warmup_steps: 10
+evals_per_epoch: 4
+eval_table_size:
+eval_table_max_new_tokens: 128
+saves_per_epoch: 1
+debug:
+deepspeed:
+weight_decay: 0.0
+fsdp:
+fsdp_config:
+special_tokens:
+```
+</details><br>
+# qwen_1.5_odia_4b
+This model is a fine-tuned version of [Qwen/Qwen1.5-4B](https://huggingface.co/Qwen/Qwen1.5-4B) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3421
+## 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: 8
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- total_eval_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 |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 0.977         | 0.0   | 1     | 1.0190          |
+| 0.4901        | 0.25  | 2108  | 0.4872          |
+| 0.3966        | 0.5   | 4216  | 0.4347          |
+| 0.3127        | 0.75  | 6324  | 0.4104          |
+| 0.3172        | 1.0   | 8432  | 0.3932          |
+| 0.281         | 1.25  | 10540 | 0.3778          |
+| 0.2845        | 1.5   | 12648 | 0.3684          |
+| 0.2459        | 1.75  | 14756 | 0.3616          |
+| 0.1641        | 2.0   | 16864 | 0.3525          |
+| 0.2121        | 2.25  | 18972 | 0.3506          |
+| 0.2564        | 2.5   | 21080 | 0.3448          |
+| 0.1378        | 2.75  | 23188 | 0.3426          |
+| 0.2002        | 3.0   | 25296 | 0.3409          |
+| 0.1671        | 3.25  | 27404 | 0.3439          |
+| 0.1464        | 3.5   | 29512 | 0.3421          |
+| 0.1741        | 3.75  | 31620 | 0.3421          |
 ### Framework versions
+- PEFT 0.8.2
+- Transformers 4.37.0
+- Pytorch 2.0.1+gita61a294
+- Datasets 2.16.1
+- Tokenizers 0.15.0

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