sam2ai
/

qwen_1.5_odia_0.5b

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 ---
 library_name: peft
 base_model: Qwen/Qwen1.5-0.5B
 ---
-# 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/Qwen1.5-0.5B
+model-index:
+- name: qwen_1.5_odia_0.5b
+  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/Qwen1.5-0.5B
+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: OdiaGenAIdata/culturax-odia
+    type: completion
+dataset_prepared_path:
+val_set_size: 0.05
+output_dir: ./lora-out-qwen-0.5b-odia
+hub_model_id: sam2ai/qwen_1.5_odia_0.5b
+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-completion-0.5b-odia
+wandb_entity:
+wandb_watch:
+wandb_name:
+wandb_log_model:
+gradient_accumulation_steps: 4
+micro_batch_size: 2
+num_epochs: 10
+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_0.5b
+This model is a fine-tuned version of [Qwen/Qwen1.5-0.5B](https://huggingface.co/Qwen/Qwen1.5-0.5B) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4242
+## 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: 4
+- total_train_batch_size: 64
+- 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: 10
+- num_epochs: 10
+### Training results
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 1.2821        | 0.0   | 1     | 1.2706          |
+| 0.5906        | 0.25  | 1366  | 0.5987          |
+| 0.531         | 0.5   | 2732  | 0.5510          |
+| 0.5095        | 0.75  | 4098  | 0.5236          |
+| 0.5027        | 1.0   | 5464  | 0.5054          |
+| 0.5019        | 1.25  | 6830  | 0.4933          |
+| 0.4798        | 1.5   | 8196  | 0.4845          |
+| 0.4484        | 1.75  | 9562  | 0.4771          |
+| 0.4526        | 2.0   | 10928 | 0.4704          |
+| 0.4498        | 2.25  | 12294 | 0.4657          |
+| 0.4508        | 2.5   | 13660 | 0.4608          |
+| 0.4226        | 2.75  | 15026 | 0.4568          |
+| 0.4161        | 3.0   | 16392 | 0.4539          |
+| 0.4258        | 3.25  | 17758 | 0.4515          |
+| 0.428         | 3.5   | 19124 | 0.4489          |
+| 0.4748        | 3.75  | 20490 | 0.4459          |
+| 0.4083        | 4.0   | 21856 | 0.4441          |
+| 0.4278        | 4.25  | 23222 | 0.4423          |
+| 0.3997        | 4.5   | 24588 | 0.4406          |
+| 0.4581        | 4.75  | 25954 | 0.4386          |
+| 0.378         | 5.0   | 27320 | 0.4372          |
+| 0.4141        | 5.25  | 28686 | 0.4358          |
+| 0.4017        | 5.5   | 30052 | 0.4344          |
+| 0.4223        | 5.75  | 31418 | 0.4328          |
+| 0.426         | 6.0   | 32784 | 0.4317          |
+| 0.3967        | 6.25  | 34150 | 0.4310          |
+| 0.3934        | 6.5   | 35516 | 0.4298          |
+| 0.404         | 6.75  | 36882 | 0.4287          |
+| 0.3874        | 7.0   | 38248 | 0.4282          |
+| 0.384         | 7.25  | 39614 | 0.4275          |
+| 0.3925        | 7.5   | 40980 | 0.4268          |
+| 0.409         | 7.75  | 42346 | 0.4261          |
+| 0.3891        | 8.0   | 43712 | 0.4256          |
+| 0.41          | 8.25  | 45078 | 0.4253          |
+| 0.3999        | 8.5   | 46444 | 0.4249          |
+| 0.3874        | 8.75  | 47810 | 0.4247          |
+| 0.3894        | 9.0   | 49176 | 0.4245          |
+| 0.3827        | 9.25  | 50542 | 0.4244          |
+| 0.3815        | 9.5   | 51908 | 0.4243          |
+| 0.3816        | 9.75  | 53274 | 0.4242          |
 ### 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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