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qa_by_bird_lora_weights

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Files changed (8) hide show
  1. .gitattributes +1 -0
  2. README.md +17 -16
  3. adapter_config.json +16 -16
  4. adapter_model.safetensors +2 -2
  5. special_tokens_map.json +61 -126
  6. tokenizer.json +0 -0
  7. tokenizer_config.json +88 -939
  8. training_args.bin +1 -1
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README.md CHANGED
@@ -1,22 +1,22 @@
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- ---
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- base_model: google/flan-t5-base
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- library_name: peft
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- license: apache-2.0
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- tags:
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- - generated_from_trainer
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- model-index:
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- - name: qa_by_bird_lora_weights
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- results: []
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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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  # qa_by_bird_lora_weights
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- This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.0063
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  ## Model description
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@@ -41,20 +41,21 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 2
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 3.8736 | 1.0 | 1000 | 2.3538 |
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- | 3.3207 | 2.0 | 2000 | 2.0063 |
 
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  ### Framework versions
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  - PEFT 0.11.1
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  - Transformers 4.41.2
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- - Pytorch 2.3.0+cu121
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  - Datasets 2.20.0
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  - Tokenizers 0.19.1
 
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+ ---
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+ base_model: baidu/ernie-code-560m
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+ library_name: peft
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+ license: mit
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: qa_by_bird_lora_weights
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+ results: []
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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
13
  should probably proofread and complete it, then remove this comment. -->
14
 
15
  # qa_by_bird_lora_weights
16
 
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+ This model is a fine-tuned version of [baidu/ernie-code-560m](https://huggingface.co/baidu/ernie-code-560m) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 3.9151
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  ## Model description
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 3
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 4.9165 | 1.0 | 1000 | 4.2814 |
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+ | 4.5737 | 2.0 | 2000 | 3.9608 |
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+ | 4.3832 | 3.0 | 3000 | 3.9151 |
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  ### Framework versions
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  - PEFT 0.11.1
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  - Transformers 4.41.2
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+ - Pytorch 2.2.2
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  - Datasets 2.20.0
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  - Tokenizers 0.19.1
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