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End of training

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  1. README.md +10 -10
  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
@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-mr](https://huggingface.co/Helsinki-NLP/opus-mt-en-mr) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6014
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  ## Model description
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@@ -39,7 +39,7 @@ The following hyperparameters were used during training:
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  - train_batch_size: 16
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  - eval_batch_size: 16
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  - seed: 42
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- - optimizer: Use OptimizerNames.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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  - num_epochs: 5
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  - mixed_precision_training: Native AMP
@@ -48,16 +48,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 0.815 | 1.0 | 57 | 0.6233 |
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- | 0.632 | 2.0 | 114 | 0.6066 |
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- | 0.648 | 3.0 | 171 | 0.6032 |
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- | 0.5376 | 4.0 | 228 | 0.6016 |
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- | 0.5977 | 5.0 | 285 | 0.6014 |
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  ### Framework versions
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- - Transformers 4.49.0
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- - Pytorch 2.6.0+cu124
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- - Datasets 3.3.2
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  - Tokenizers 0.21.0
 
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  This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-mr](https://huggingface.co/Helsinki-NLP/opus-mt-en-mr) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6011
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  ## Model description
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  - train_batch_size: 16
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  - eval_batch_size: 16
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  - seed: 42
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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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  - num_epochs: 5
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  - mixed_precision_training: Native AMP
 
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.8137 | 1.0 | 57 | 0.6228 |
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+ | 0.6327 | 2.0 | 114 | 0.6068 |
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+ | 0.6439 | 3.0 | 171 | 0.6037 |
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+ | 0.5375 | 4.0 | 228 | 0.6017 |
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+ | 0.5948 | 5.0 | 285 | 0.6011 |
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  ### Framework versions
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+ - Transformers 4.47.0
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+ - Pytorch 2.5.1+cu121
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+ - Datasets 3.3.1
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  - Tokenizers 0.21.0
config.json CHANGED
@@ -50,7 +50,7 @@
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  "share_encoder_decoder_embeddings": true,
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  "static_position_embeddings": true,
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  "torch_dtype": "float32",
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- "transformers_version": "4.49.0",
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  "use_cache": true,
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  "vocab_size": 61674
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  }
 
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  "share_encoder_decoder_embeddings": true,
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  "static_position_embeddings": true,
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  "torch_dtype": "float32",
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+ "transformers_version": "4.47.0",
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  "use_cache": true,
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  "vocab_size": 61674
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  }
generation_config.json CHANGED
@@ -12,5 +12,5 @@
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  "num_beams": 4,
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  "pad_token_id": 61673,
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  "renormalize_logits": true,
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- "transformers_version": "4.49.0"
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  }
 
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  "num_beams": 4,
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  "pad_token_id": 61673,
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  "renormalize_logits": true,
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+ "transformers_version": "4.47.0"
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  }
model.safetensors CHANGED
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