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-10e
+  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: 6.3359
+---
+
+<!-- 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-10e
+
+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: 1.6318
+- Bleu: 6.3359
+- Gen Len: 58.0829
+
+## 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: 128
+- eval_batch_size: 128
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
+| No log        | 1.0   | 140  | 3.1399          | 0.0997 | 69.5849 |
+| No log        | 2.0   | 280  | 2.2017          | 1.6584 | 62.2953 |
+| No log        | 3.0   | 420  | 1.9380          | 3.61   | 59.1948 |
+| 3.0959        | 4.0   | 560  | 1.8188          | 4.5827 | 57.0106 |
+| 3.0959        | 5.0   | 700  | 1.7496          | 5.1558 | 56.731  |
+| 3.0959        | 6.0   | 840  | 1.7012          | 5.6941 | 58.2515 |
+| 3.0959        | 7.0   | 980  | 1.6683          | 5.964  | 57.0337 |
+| 1.851         | 8.0   | 1120 | 1.6473          | 6.1539 | 57.0685 |
+| 1.851         | 9.0   | 1260 | 1.6357          | 6.3233 | 57.5607 |
+| 1.851         | 10.0  | 1400 | 1.6318          | 6.3359 | 58.0829 |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- 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": "4.38.2"
+}

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