End of training

README.md

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+---
+license: apache-2.0
+base_model: DevAibest/opus-mt-en-fr-finetuned-en-to-fr
+tags:
+- generated_from_trainer
+datasets:
+- opus_books
+metrics:
+- bleu
+model-index:
+- name: opus-mt-finetuned-en-to-fr
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: opus_books
+      type: opus_books
+      config: en-fr
+      split: train
+      args: en-fr
+    metrics:
+    - name: Bleu
+      type: bleu
+      value: 26.9265
+---
+
+<!-- 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-finetuned-en-to-fr
+
+This model is a fine-tuned version of [DevAibest/opus-mt-en-fr-finetuned-en-to-fr](https://huggingface.co/DevAibest/opus-mt-en-fr-finetuned-en-to-fr) on the opus_books dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.6538
+- Bleu: 26.9265
+- Gen Len: 34.161
+
+## 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: 15
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
+| No log        | 1.0   | 398  | 1.6540          | 26.2729 | 34.3078 |
+| 1.764         | 2.0   | 796  | 1.6364          | 26.484  | 34.4081 |
+| 1.6142        | 3.0   | 1194 | 1.6313          | 26.533  | 34.273  |
+| 1.5079        | 4.0   | 1592 | 1.6291          | 26.6765 | 34.1672 |
+| 1.5079        | 5.0   | 1990 | 1.6323          | 26.8527 | 34.0352 |
+| 1.4218        | 6.0   | 2388 | 1.6314          | 26.8336 | 34.1142 |
+| 1.3423        | 7.0   | 2786 | 1.6316          | 26.8037 | 34.2929 |
+| 1.2812        | 8.0   | 3184 | 1.6361          | 26.9189 | 34.2471 |
+| 1.2421        | 9.0   | 3582 | 1.6369          | 26.9398 | 34.2674 |
+| 1.2421        | 10.0  | 3980 | 1.6413          | 26.9029 | 34.2462 |
+| 1.1991        | 11.0  | 4378 | 1.6445          | 26.9221 | 34.1811 |
+| 1.1562        | 12.0  | 4776 | 1.6495          | 26.8817 | 34.249  |
+| 1.1392        | 13.0  | 5174 | 1.6517          | 26.8928 | 34.1777 |
+| 1.1194        | 14.0  | 5572 | 1.6531          | 26.8547 | 34.2342 |
+| 1.1194        | 15.0  | 5970 | 1.6538          | 26.9265 | 34.161  |
+
+
+### Framework versions
+
+- Transformers 4.33.0
+- Pytorch 2.0.0
+- Datasets 2.1.0
+- Tokenizers 0.13.3

generation_config.json

@@ -0,0 +1,16 @@
+{
+  "bad_words_ids": [
+    [
+      59513
+    ]
+  ],
+  "bos_token_id": 0,
+  "decoder_start_token_id": 59513,
+  "eos_token_id": 0,
+  "forced_eos_token_id": 0,
+  "max_length": 512,
+  "num_beams": 4,
+  "pad_token_id": 59513,
+  "renormalize_logits": true,
+  "transformers_version": "4.33.0"
+}

pytorch_model.bin

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