cartesinus commited on
Commit
62f82e6
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1 Parent(s): cab9729

Add model, config, tokenizer, and custom code

Browse files
README.md CHANGED
@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [](https://huggingface.co/) on the iva_mt_wslot dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 6.0627
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- - Bleu: 0.0253
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- - Gen Len: 5.1184
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  ## Model description
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@@ -45,7 +45,7 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - gradient_accumulation_steps: 4
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  - total_train_batch_size: 32
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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: 500
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  - num_epochs: 5
@@ -55,16 +55,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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  |:-------------:|:------:|:----:|:---------------:|:------:|:-------:|
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- | 7.4078 | 0.9992 | 636 | 7.0700 | 0.0 | 3.9948 |
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- | 6.525 | 2.0 | 1273 | 6.4606 | 0.0225 | 6.3877 |
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- | 6.082 | 2.9992 | 1909 | 6.2044 | 0.0103 | 4.9663 |
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- | 5.8782 | 4.0 | 2546 | 6.1041 | 0.0248 | 5.9008 |
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- | 5.756 | 4.9961 | 3180 | 6.0627 | 0.0253 | 5.1184 |
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  ### Framework versions
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- - Transformers 4.44.2
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  - Pytorch 2.5.0+cu121
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  - Datasets 3.1.0
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- - Tokenizers 0.19.1
 
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  This model is a fine-tuned version of [](https://huggingface.co/) on the iva_mt_wslot dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 6.1444
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+ - Bleu: 0.0738
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+ - Gen Len: 6.655
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  ## Model description
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  - seed: 42
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  - gradient_accumulation_steps: 4
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  - total_train_batch_size: 32
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+ - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 500
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  - num_epochs: 5
 
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  | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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  |:-------------:|:------:|:----:|:---------------:|:------:|:-------:|
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+ | 7.3851 | 0.9992 | 636 | 7.0694 | 0.0229 | 5.3686 |
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+ | 6.537 | 2.0 | 1273 | 6.5403 | 0.0786 | 7.0747 |
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+ | 6.1173 | 2.9992 | 1909 | 6.2891 | 0.0387 | 6.1529 |
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+ | 5.924 | 4.0 | 2546 | 6.1793 | 0.0715 | 6.7137 |
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+ | 5.7999 | 4.9961 | 3180 | 6.1444 | 0.0738 | 6.655 |
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  ### Framework versions
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+ - Transformers 4.46.2
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  - Pytorch 2.5.0+cu121
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  - Datasets 3.1.0
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+ - Tokenizers 0.20.3
config.json CHANGED
@@ -16,6 +16,6 @@
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  "pad_token_id": 1,
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  "share_embeddings": false,
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  "torch_dtype": "float32",
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- "transformers_version": "4.44.2",
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  "vocab_size": 28297
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  }
 
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  "pad_token_id": 1,
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  "share_embeddings": false,
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  "torch_dtype": "float32",
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+ "transformers_version": "4.46.2",
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  "vocab_size": 28297
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  }
generation_config.json CHANGED
@@ -4,5 +4,5 @@
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  "decoder_start_token_id": 1,
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  "eos_token_id": 2,
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  "pad_token_id": 1,
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- "transformers_version": "4.44.2"
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  }
 
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  "decoder_start_token_id": 1,
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  "eos_token_id": 2,
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  "pad_token_id": 1,
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+ "transformers_version": "4.46.2"
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  }
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tokenizer.json CHANGED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json CHANGED
@@ -34,7 +34,7 @@
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  }
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  },
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  "bos_token": "<bos>",
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- "clean_up_tokenization_spaces": true,
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  "eos_token": "<eos>",
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  "model_max_length": 256,
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  "pad_token": "<pad>",
 
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  }
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  },
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  "bos_token": "<bos>",
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+ "clean_up_tokenization_spaces": false,
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  "eos_token": "<eos>",
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  "model_max_length": 256,
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  "pad_token": "<pad>",
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