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End of training

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  1. README.md +12 -12
  2. config.json +1 -1
  3. generation_config.json +1 -1
  4. model.safetensors +1 -1
  5. training_args.bin +1 -1
README.md CHANGED
@@ -15,14 +15,14 @@ should probably proofread and complete it, then remove this comment. -->
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  # T5_Ru_VKR
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- This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.0752
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- - Rouge1: 0.0342
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- - Rouge2: 0.0175
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- - Rougel: 0.0348
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- - Rougelsum: 0.0345
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- - Gen Len: 19.0
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  ## Model description
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@@ -54,15 +54,15 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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- | No log | 1.0 | 50 | 2.1450 | 0.0273 | 0.016 | 0.0273 | 0.0277 | 19.0 |
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- | No log | 2.0 | 100 | 2.0944 | 0.0269 | 0.0157 | 0.0271 | 0.0275 | 19.0 |
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- | No log | 3.0 | 150 | 2.0770 | 0.0342 | 0.0175 | 0.0348 | 0.0345 | 19.0 |
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- | No log | 4.0 | 200 | 2.0752 | 0.0342 | 0.0175 | 0.0348 | 0.0345 | 19.0 |
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  ### Framework versions
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- - Transformers 4.41.0
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  - Pytorch 2.1.2
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  - Datasets 2.18.0
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  - Tokenizers 0.19.1
 
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  # T5_Ru_VKR
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+ This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.8379
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+ - Rouge1: 0.0245
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+ - Rouge2: 0.0098
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+ - Rougel: 0.0244
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+ - Rougelsum: 0.0246
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+ - Gen Len: 18.89
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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+ | No log | 1.0 | 100 | 1.9162 | 0.0195 | 0.0069 | 0.0194 | 0.0196 | 18.91 |
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+ | No log | 2.0 | 200 | 1.8605 | 0.0237 | 0.0093 | 0.0235 | 0.0238 | 18.89 |
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+ | No log | 3.0 | 300 | 1.8399 | 0.0237 | 0.0093 | 0.0235 | 0.0238 | 18.89 |
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+ | No log | 4.0 | 400 | 1.8379 | 0.0245 | 0.0098 | 0.0244 | 0.0246 | 18.89 |
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  ### Framework versions
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+ - Transformers 4.41.1
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  - Pytorch 2.1.2
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  - Datasets 2.18.0
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  - Tokenizers 0.19.1
config.json CHANGED
@@ -55,7 +55,7 @@
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  }
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  },
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  "torch_dtype": "float32",
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- "transformers_version": "4.41.0",
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  "use_cache": true,
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  "vocab_size": 32128
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  }
 
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  }
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  },
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  "torch_dtype": "float32",
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+ "transformers_version": "4.41.1",
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  "use_cache": true,
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  "vocab_size": 32128
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  }
generation_config.json CHANGED
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  "eos_token_id": 1,
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  "pad_token_id": 0,
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- "transformers_version": "4.41.0"
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  }
 
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  "decoder_start_token_id": 0,
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  "eos_token_id": 1,
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  "pad_token_id": 0,
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+ "transformers_version": "4.41.1"
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