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reranker_0.5_cont_filt

Text Generation
Transformers
Safetensors
qwen2
llama-factory
full
Generated from Trainer
conversational
text-generation-inference
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Lightblue-Dev lbourdois commited on
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Improve language tag (#2)

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- Improve language tag (f31742c1b051a3e8690c447ed18883d3cbfd1fff)


Co-authored-by: Loïck BOURDOIS <[email protected]>

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  1. README.md +87 -73
README.md CHANGED
@@ -1,73 +1,87 @@
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- ---
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- library_name: transformers
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- license: other
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- base_model: Qwen/Qwen2.5-0.5B-Instruct
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- tags:
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- - llama-factory
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- - full
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- - generated_from_trainer
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- model-index:
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- - name: reranker_continuous_filt_train
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- results: []
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- ---
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-
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- <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- should probably proofread and complete it, then remove this comment. -->
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-
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- # reranker_continuous_filt_train
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-
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- This model is a fine-tuned version of [Qwen/Qwen2.5-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct) on the reranker_continuous_filt_train dataset.
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- It achieves the following results on the evaluation set:
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- - Loss: 0.2805
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-
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- ## Model description
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-
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- More information needed
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-
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- ## Intended uses & limitations
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-
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- More information needed
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-
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- ## Training and evaluation data
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-
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- More information needed
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-
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- ## Training procedure
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-
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- ### Training hyperparameters
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-
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- The following hyperparameters were used during training:
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- - learning_rate: 1e-05
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- - train_batch_size: 1
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- - eval_batch_size: 1
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- - seed: 42
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- - distributed_type: multi-GPU
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- - num_devices: 8
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- - total_train_batch_size: 8
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- - total_eval_batch_size: 8
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- - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- - lr_scheduler_type: cosine
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- - lr_scheduler_warmup_ratio: 0.01
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- - num_epochs: 1.0
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-
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- ### Training results
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-
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:------:|:-----:|:---------------:|
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- | 0.2895 | 0.1000 | 2016 | 0.3479 |
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- | 0.2891 | 0.2000 | 4032 | 0.3320 |
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- | 0.396 | 0.3000 | 6048 | 0.3245 |
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- | 0.2693 | 0.4000 | 8064 | 0.3080 |
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- | 0.2712 | 0.5000 | 10080 | 0.3056 |
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- | 0.2738 | 0.6000 | 12096 | 0.2925 |
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- | 0.1629 | 0.7000 | 14112 | 0.2880 |
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- | 0.2761 | 0.8000 | 16128 | 0.2839 |
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- | 0.1861 | 0.9000 | 18144 | 0.2813 |
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-
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-
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- ### Framework versions
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-
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- - Transformers 4.46.1
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- - Pytorch 2.4.0+cu121
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- - Datasets 3.1.0
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- - Tokenizers 0.20.3
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ library_name: transformers
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+ license: other
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+ base_model: Qwen/Qwen2.5-0.5B-Instruct
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+ tags:
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+ - llama-factory
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+ - full
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+ - generated_from_trainer
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+ language:
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+ - zho
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+ - eng
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+ - fra
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+ - spa
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+ - por
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+ - deu
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+ - ita
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+ - rus
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+ - jpn
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+ - kor
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+ - vie
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+ - tha
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+ - ara
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+ model-index:
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+ - name: reranker_continuous_filt_train
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # reranker_continuous_filt_train
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+
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+ This model is a fine-tuned version of [Qwen/Qwen2.5-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct) on the reranker_continuous_filt_train dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2805
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
42
+
43
+ More information needed
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+
45
+ ## Training and evaluation data
46
+
47
+ More information needed
48
+
49
+ ## Training procedure
50
+
51
+ ### Training hyperparameters
52
+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 1e-05
55
+ - train_batch_size: 1
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+ - eval_batch_size: 1
57
+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - num_devices: 8
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+ - total_train_batch_size: 8
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+ - total_eval_batch_size: 8
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+ - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_ratio: 0.01
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+ - num_epochs: 1.0
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:------:|:-----:|:---------------:|
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+ | 0.2895 | 0.1000 | 2016 | 0.3479 |
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+ | 0.2891 | 0.2000 | 4032 | 0.3320 |
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+ | 0.396 | 0.3000 | 6048 | 0.3245 |
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+ | 0.2693 | 0.4000 | 8064 | 0.3080 |
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+ | 0.2712 | 0.5000 | 10080 | 0.3056 |
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+ | 0.2738 | 0.6000 | 12096 | 0.2925 |
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+ | 0.1629 | 0.7000 | 14112 | 0.2880 |
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+ | 0.2761 | 0.8000 | 16128 | 0.2839 |
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+ | 0.1861 | 0.9000 | 18144 | 0.2813 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.46.1
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+ - Pytorch 2.4.0+cu121
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+ - Datasets 3.1.0
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+ - Tokenizers 0.20.3