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Model save

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  1. README.md +11 -15
  2. config.json +2 -2
  3. model.safetensors +2 -2
  4. tokenizer.json +4 -2
  5. training_args.bin +1 -1
README.md CHANGED
@@ -1,6 +1,4 @@
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  ---
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- license: apache-2.0
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- base_model: t5-small
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  tags:
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  - generated_from_trainer
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  metrics:
@@ -15,14 +13,14 @@ should probably proofread and complete it, then remove this comment. -->
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  # denoice-finetuned-xsum
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- This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7794
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- - Rouge1: 71.0141
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- - Rouge2: 53.0457
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- - Rougel: 71.0918
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- - Rougelsum: 71.0572
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- - Gen Len: 16.5681
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  ## Model description
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@@ -47,17 +45,15 @@ 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: 5
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  ### Training results
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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 | 76 | 0.8037 | 70.2689 | 52.2689 | 70.2756 | 70.2269 | 16.5707 |
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- | No log | 2.0 | 152 | 0.7922 | 70.7975 | 52.7278 | 70.8142 | 70.8439 | 16.5576 |
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- | No log | 3.0 | 228 | 0.7846 | 70.8221 | 52.6361 | 70.9459 | 70.8784 | 16.5314 |
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- | No log | 4.0 | 304 | 0.7805 | 71.0252 | 53.0551 | 71.0992 | 71.0725 | 16.5576 |
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- | No log | 5.0 | 380 | 0.7794 | 71.0141 | 53.0457 | 71.0918 | 71.0572 | 16.5681 |
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  ### Framework versions
 
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  ---
 
 
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  # denoice-finetuned-xsum
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+ This model was trained from scratch on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7176
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+ - Rouge1: 72.4979
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+ - Rouge2: 55.09
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+ - Rougel: 72.5668
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+ - Rougelsum: 72.5151
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+ - Gen Len: 16.5209
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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 | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
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+ | No log | 1.0 | 76 | 0.7237 | 72.7109 | 55.346 | 72.7556 | 72.7163 | 16.4921 |
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+ | No log | 2.0 | 152 | 0.7188 | 72.4823 | 55.1403 | 72.5559 | 72.5034 | 16.5288 |
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+ | No log | 3.0 | 228 | 0.7176 | 72.4979 | 55.09 | 72.5668 | 72.5151 | 16.5209 |
 
 
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  ### Framework versions
config.json CHANGED
@@ -1,5 +1,5 @@
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  {
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- "_name_or_path": "t5-small",
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  "architectures": [
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  "T5ForConditionalGeneration"
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  ],
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  "prefix": "translate English to Romanian: "
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  }
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  },
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- "torch_dtype": "float16",
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  "transformers_version": "4.36.2",
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  "use_cache": true,
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  "vocab_size": 32128
 
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  {
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+ "_name_or_path": "./denoice-en-decoder.pt/",
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  "architectures": [
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  "T5ForConditionalGeneration"
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  ],
 
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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": "4.36.2",
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  "use_cache": true,
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  "vocab_size": 32128
model.safetensors CHANGED
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tokenizer.json CHANGED
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  "padding": {
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- "strategy": "BatchLongest",
 
 
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  "padding": {
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training_args.bin CHANGED
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