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
+datasets:
+- arrow
+metrics:
+- bleu
+model-index:
+- name: opus-mt-en-bkm-Final-60
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: arrow
+      type: arrow
+      config: default
+      split: train
+      args: default
+    metrics:
+    - name: Bleu
+      type: bleu
+      value: 9.354
+---
+
+<!-- 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-bkm-Final-60
+
+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 arrow dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.5584
+- Bleu: 9.354
+- Gen Len: 40.6029
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
+| 3.4876        | 1.0   | 601  | 2.2031          | 2.3601 | 50.4173 |
+| 2.2475        | 2.0   | 1202 | 1.9329          | 4.8587 | 40.8697 |
+| 2.0162        | 3.0   | 1803 | 1.7959          | 5.9413 | 39.0495 |
+| 1.8926        | 4.0   | 2404 | 1.7144          | 6.9033 | 40.8797 |
+| 1.71          | 5.0   | 3005 | 1.6537          | 7.7651 | 40.4224 |
+| 1.6501        | 6.0   | 3606 | 1.6161          | 8.441  | 41.3464 |
+| 1.6053        | 7.0   | 4207 | 1.5869          | 8.812  | 40.534  |
+| 1.554         | 8.0   | 4808 | 1.5725          | 9.2092 | 40.4813 |
+| 1.5409        | 9.0   | 5409 | 1.5608          | 9.3966 | 40.9083 |
+| 1.5049        | 10.0  | 6010 | 1.5584          | 9.354  | 40.6029 |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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": "4.39.3"
+}

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