sumukshashidhar-testing
/

reasoning-v0.2-qwen2.5-7b

@@ -1,142 +1,156 @@
----
-library_name: peft
-license: apache-2.0
-base_model: Qwen/Qwen2.5-7B
-tags:
-- axolotl
-- generated_from_trainer
-datasets:
-- sumukshashidhar-testing/reasoning-rerankers-relevance-sft-data
-model-index:
-- name: reasoning-v0.2-qwen2.5-7b
-  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: `0.7.0`
-```yaml
-base_model: Qwen/Qwen2.5-7B
-hub_model_id: sumukshashidhar-testing/reasoning-v0.2-qwen2.5-7b
-trust_remote_code: true
-load_in_8bit: false
-load_in_4bit: false
-strict: false
-bf16: true
-hf_use_auth_token: true
-plugins:
-  - axolotl.integrations.liger.LigerPlugin
-liger_rope: true
-liger_rms_norm: true
-liger_glu_activation: true
-liger_layer_norm: true
-liger_fused_linear_cross_entropy: true
-save_safetensors:
-datasets:
-  - path: sumukshashidhar-testing/reasoning-rerankers-relevance-sft-data
-    type: completion
-    field: text
-dataset_prepared_path: .axolotl_cache_data/reasoning-rerankers
-shuffle_merged_datasets: true
-# dataset_exact_deduplication: true
-val_set_size: 0.05
-output_dir: /scratch/reasoning-reankers/reasoning-v0.1-qwen2.5-7b
-push_dataset_to_hub: sumukshashidhar-testing/reasoning-rerankers-relevance-sft-data-in-progress
-sequence_length: 2048
-sample_packing: true
-pad_to_sequence_len: true
-adapter: lora
-lora_r: 256
-lora_alpha: 32
-lora_dropout: 0.05
-peft_use_rslora: true
-lora_target_linear: true
-gradient_accumulation_steps: 1
-micro_batch_size: 32
-eval_batch_size: 1
-num_epochs: 3
-learning_rate: 5e-4
-warmup_ratio: 0.05
-evals_per_epoch: 2
-saves_per_epoch: 2
-gradient_checkpointing: true
-lr_scheduler: cosine
-optimizer: paged_adamw_8bit
-profiler_steps: 100
-save_safetensors: true
-train_on_inputs: true
-wandb_project: reasoning-rerankers
-wandb_name: rr-qwen-7b
-deepspeed: zero1.json
-```
-</details><br>
-# reasoning-v0.2-qwen2.5-7b
-This model is a fine-tuned version of [Qwen/Qwen2.5-7B](https://huggingface.co/Qwen/Qwen2.5-7B) on the sumukshashidhar-testing/reasoning-rerankers-relevance-sft-data dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.4119
-## 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: 0.0005
-- train_batch_size: 32
-- eval_batch_size: 1
-- seed: 42
-- distributed_type: multi-GPU
-- num_devices: 8
-- total_train_batch_size: 256
-- total_eval_batch_size: 8
-- optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT 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: 49
-- num_epochs: 3.0
-### Training results
-| Training Loss | Epoch  | Step | Validation Loss |
-|:-------------:|:------:|:----:|:---------------:|
-| No log        | 0.0030 | 1    | 2.2497          |
-| 0.51          | 0.5    | 166  | 0.7306          |
-| 0.2733        | 1.0    | 332  | 0.5004          |
-| 0.1938        | 1.5    | 498  | 0.4445          |
-| 0.1783        | 2.0    | 664  | 0.4152          |
-| 0.1446        | 2.5    | 830  | 0.4147          |
-| 0.1424        | 3.0    | 996  | 0.4119          |
-### Framework versions
-- PEFT 0.14.0
-- Transformers 4.48.3
-- Pytorch 2.4.0
-- Datasets 3.2.0
 - Tokenizers 0.21.1

+---
+library_name: peft
+license: apache-2.0
+base_model: Qwen/Qwen2.5-7B
+tags:
+- axolotl
+- generated_from_trainer
+datasets:
+- sumukshashidhar-testing/reasoning-rerankers-relevance-sft-data
+language:
+- zho
+- eng
+- fra
+- spa
+- por
+- deu
+- ita
+- rus
+- jpn
+- kor
+- vie
+- tha
+- ara
+model-index:
+- name: reasoning-v0.2-qwen2.5-7b
+  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: `0.7.0`
+```yaml
+base_model: Qwen/Qwen2.5-7B
+hub_model_id: sumukshashidhar-testing/reasoning-v0.2-qwen2.5-7b
+trust_remote_code: true
+load_in_8bit: false
+load_in_4bit: false
+strict: false
+bf16: true
+hf_use_auth_token: true
+plugins:
+  - axolotl.integrations.liger.LigerPlugin
+liger_rope: true
+liger_rms_norm: true
+liger_glu_activation: true
+liger_layer_norm: true
+liger_fused_linear_cross_entropy: true
+save_safetensors:
+datasets:
+  - path: sumukshashidhar-testing/reasoning-rerankers-relevance-sft-data
+    type: completion
+    field: text
+dataset_prepared_path: .axolotl_cache_data/reasoning-rerankers
+shuffle_merged_datasets: true
+# dataset_exact_deduplication: true
+val_set_size: 0.05
+output_dir: /scratch/reasoning-reankers/reasoning-v0.1-qwen2.5-7b
+push_dataset_to_hub: sumukshashidhar-testing/reasoning-rerankers-relevance-sft-data-in-progress
+sequence_length: 2048
+sample_packing: true
+pad_to_sequence_len: true
+adapter: lora
+lora_r: 256
+lora_alpha: 32
+lora_dropout: 0.05
+peft_use_rslora: true
+lora_target_linear: true
+gradient_accumulation_steps: 1
+micro_batch_size: 32
+eval_batch_size: 1
+num_epochs: 3
+learning_rate: 5e-4
+warmup_ratio: 0.05
+evals_per_epoch: 2
+saves_per_epoch: 2
+gradient_checkpointing: true
+lr_scheduler: cosine
+optimizer: paged_adamw_8bit
+profiler_steps: 100
+save_safetensors: true
+train_on_inputs: true
+wandb_project: reasoning-rerankers
+wandb_name: rr-qwen-7b
+deepspeed: zero1.json
+```
+</details><br>
+# reasoning-v0.2-qwen2.5-7b
+This model is a fine-tuned version of [Qwen/Qwen2.5-7B](https://huggingface.co/Qwen/Qwen2.5-7B) on the sumukshashidhar-testing/reasoning-rerankers-relevance-sft-data dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4119
+## 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: 0.0005
+- train_batch_size: 32
+- eval_batch_size: 1
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- total_train_batch_size: 256
+- total_eval_batch_size: 8
+- optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT 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: 49
+- num_epochs: 3.0
+### Training results
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| No log        | 0.0030 | 1    | 2.2497          |
+| 0.51          | 0.5    | 166  | 0.7306          |
+| 0.2733        | 1.0    | 332  | 0.5004          |
+| 0.1938        | 1.5    | 498  | 0.4445          |
+| 0.1783        | 2.0    | 664  | 0.4152          |
+| 0.1446        | 2.5    | 830  | 0.4147          |
+| 0.1424        | 3.0    | 996  | 0.4119          |
+### Framework versions
+- PEFT 0.14.0
+- Transformers 4.48.3
+- Pytorch 2.4.0
+- Datasets 3.2.0
 - Tokenizers 0.21.1