End of training
Browse files- README.md +7 -4
- config.json +1 -1
- pytorch_model.bin +2 -2
- tokenizer.json +1 -6
- training_args.bin +2 -2
README.md
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.
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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.
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- Accuracy: 0.
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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:
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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
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config.json
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"prefix": "translate English to Romanian: "
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}
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},
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"torch_dtype": "
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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
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pytorch_model.bin
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oid sha256:
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size 447089825
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tokenizer.json
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{
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"version": "1.0",
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"truncation":
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"direction": "Right",
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"max_length": 512,
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"strategy": "LongestFirst",
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"stride": 0
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"padding": null,
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"added_tokens": [
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"padding": null,
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"added_tokens": [
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{
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training_args.bin
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size 5819
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