lukeleeai commited on
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End of training

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Files changed (5) hide show
  1. README.md +7 -4
  2. config.json +1 -1
  3. pytorch_model.bin +2 -2
  4. tokenizer.json +1 -6
  5. training_args.bin +2 -2
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.46153846153846156
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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
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the glue dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.8579
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- - Accuracy: 0.4615
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  ## Model description
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@@ -55,7 +55,10 @@ The following hyperparameters were used during training:
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  - learning_rate: 5e-05
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  - train_batch_size: 32
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  - eval_batch_size: 64
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- - seed: 0
 
 
 
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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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  - lr_scheduler_warmup_steps: 20
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.3076923076923077
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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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  This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the glue dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7773
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+ - Accuracy: 0.3077
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  ## Model description
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  - learning_rate: 5e-05
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  - train_batch_size: 32
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  - eval_batch_size: 64
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+ - seed: 1
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+ - distributed_type: multi-GPU
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 64
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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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  - lr_scheduler_warmup_steps: 20
config.json CHANGED
@@ -54,7 +54,7 @@
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  "prefix": "translate English to Romanian: "
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  }
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  },
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- "torch_dtype": "float32",
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  "transformers_version": "4.34.1",
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  "use_cache": true,
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  "vocab_size": 32128
 
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  "prefix": "translate English to Romanian: "
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  }
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  },
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+ "torch_dtype": "bfloat16",
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  "transformers_version": "4.34.1",
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  "use_cache": true,
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  "vocab_size": 32128
pytorch_model.bin CHANGED
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tokenizer.json CHANGED
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