End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: Helsinki-NLP/opus-mt-en-mr
+tags:
+- generated_from_trainer
+model-index:
+- name: english-marathi-colloquial-translator1
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# english-marathi-colloquial-translator1
+
+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.
+It achieves the following results on the evaluation set:
+- Loss: 0.5252
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0003
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 8
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 2
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 15.4233       | 0.3636 | 2    | 7.9121          |
+| 13.0588       | 0.7273 | 4    | 7.9121          |
+| 8.4646        | 1.0    | 6    | 7.9121          |
+| 4.474         | 1.3636 | 8    | 3.3942          |
+| 1.7662        | 1.7273 | 10   | 0.6550          |
+| 0.7863        | 2.0    | 12   | 0.5941          |
+| 1.1458        | 2.3636 | 14   | 0.5240          |
+| 0.8619        | 2.7273 | 16   | 0.4977          |
+| 0.7108        | 3.0    | 18   | 0.4929          |
+| 0.8382        | 3.3636 | 20   | 0.4984          |
+| 0.5416        | 3.7273 | 22   | 0.4854          |
+| 0.2726        | 4.0    | 24   | 0.4787          |
+| 0.4561        | 4.3636 | 26   | 0.4806          |
+| 0.5203        | 4.7273 | 28   | 0.4890          |
+| 0.233         | 5.0    | 30   | 0.4989          |
+| 0.4509        | 5.3636 | 32   | 0.4978          |
+| 0.3384        | 5.7273 | 34   | 0.4999          |
+| 0.1781        | 6.0    | 36   | 0.5054          |
+| 0.3225        | 6.3636 | 38   | 0.5101          |
+| 0.2737        | 6.7273 | 40   | 0.5159          |
+| 0.0695        | 7.0    | 42   | 0.5239          |
+| 0.2417        | 7.3636 | 44   | 0.5263          |
+| 0.3237        | 7.7273 | 46   | 0.5253          |
+| 0.1458        | 8.0    | 48   | 0.5249          |
+| 0.2153        | 8.3636 | 50   | 0.5252          |
+
+
+### Framework versions
+
+- Transformers 4.47.1
+- Pytorch 2.6.0+cu124
+- Datasets 3.3.1
+- Tokenizers 0.21.0

generation_config.json

@@ -0,0 +1,16 @@
+{
+  "bad_words_ids": [
+    [
+      61673
+    ]
+  ],
+  "bos_token_id": 0,
+  "decoder_start_token_id": 61673,
+  "eos_token_id": 0,
+  "forced_eos_token_id": 0,
+  "max_length": 512,
+  "num_beams": 4,
+  "pad_token_id": 61673,
+  "renormalize_logits": true,
+  "transformers_version": "4.47.1"
+}

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:929e0ae47eda79bd97c6b494b5de40e7d2febb30ce33fd4b4656235011695909
 size 303138088