End of training

README.md

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+---
+license: apache-2.0
+base_model: Helsinki-NLP/opus-mt-en-ro
+tags:
+- generated_from_trainer
+model-index:
+- name: opus-mt-en-ro-finetuned-src-to-tgt
+  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. -->
+
+# opus-mt-en-ro-finetuned-src-to-tgt
+
+This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-ro](https://huggingface.co/Helsinki-NLP/opus-mt-en-ro) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.4552
+
+## 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: 2e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 30
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 35   | 2.8624          |
+| No log        | 2.0   | 70   | 2.6600          |
+| No log        | 3.0   | 105  | 2.5610          |
+| No log        | 4.0   | 140  | 2.5369          |
+| No log        | 5.0   | 175  | 2.4976          |
+| No log        | 6.0   | 210  | 2.4731          |
+| No log        | 7.0   | 245  | 2.4463          |
+| No log        | 8.0   | 280  | 2.4558          |
+| No log        | 9.0   | 315  | 2.4386          |
+| No log        | 10.0  | 350  | 2.4377          |
+| No log        | 11.0  | 385  | 2.4342          |
+| No log        | 12.0  | 420  | 2.4332          |
+| No log        | 13.0  | 455  | 2.4401          |
+| No log        | 14.0  | 490  | 2.4453          |
+| 2.3749        | 15.0  | 525  | 2.4237          |
+| 2.3749        | 16.0  | 560  | 2.4336          |
+| 2.3749        | 17.0  | 595  | 2.4262          |
+| 2.3749        | 18.0  | 630  | 2.4340          |
+| 2.3749        | 19.0  | 665  | 2.4358          |
+| 2.3749        | 20.0  | 700  | 2.4423          |
+| 2.3749        | 21.0  | 735  | 2.4370          |
+| 2.3749        | 22.0  | 770  | 2.4404          |
+| 2.3749        | 23.0  | 805  | 2.4451          |
+| 2.3749        | 24.0  | 840  | 2.4482          |
+| 2.3749        | 25.0  | 875  | 2.4477          |
+| 2.3749        | 26.0  | 910  | 2.4503          |
+| 2.3749        | 27.0  | 945  | 2.4533          |
+| 2.3749        | 28.0  | 980  | 2.4570          |
+| 2.1075        | 29.0  | 1015 | 2.4564          |
+| 2.1075        | 30.0  | 1050 | 2.4552          |
+
+
+### Framework versions
+
+- Transformers 4.36.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.0

generation_config.json

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+{
+  "bad_words_ids": [
+    [
+      59542
+    ]
+  ],
+  "bos_token_id": 0,
+  "decoder_start_token_id": 59542,
+  "eos_token_id": 0,
+  "forced_eos_token_id": 0,
+  "max_length": 512,
+  "num_beams": 4,
+  "pad_token_id": 59542,
+  "renormalize_logits": true,
+  "transformers_version": "4.36.2"
+}

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