End of training

README.md

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+---
+license: mit
+base_model: ad019el/m2m100_418M-finetuned-tq-to-ar
+tags:
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: m2m100_418M-finetuned-tq-to-ar-1
+  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. -->
+
+# m2m100_418M-finetuned-tq-to-ar-1
+
+This model is a fine-tuned version of [ad019el/m2m100_418M-finetuned-tq-to-ar](https://huggingface.co/ad019el/m2m100_418M-finetuned-tq-to-ar) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.8441
+- Bleu: 3.821
+- Gen Len: 49.5575
+
+## 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: 8
+- eval_batch_size: 8
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
+| 2.8942        | 1.0   | 656  | 2.8414          | 1.6225 | 58.6106 |
+| 2.6772        | 2.0   | 1312 | 2.7490          | 2.2047 | 44.1578 |
+| 2.4924        | 3.0   | 1968 | 2.7039          | 2.7562 | 44.6981 |
+| 2.1412        | 4.0   | 2624 | 2.6708          | 3.0804 | 45.4271 |
+| 1.9918        | 5.0   | 3280 | 2.6832          | 3.0172 | 50.8473 |
+| 1.8807        | 6.0   | 3936 | 2.6942          | 3.4001 | 49.6724 |
+| 1.656         | 7.0   | 4592 | 2.7209          | 3.939  | 45.3362 |
+| 1.5421        | 8.0   | 5248 | 2.7179          | 3.5743 | 47.6621 |
+| 1.4633        | 9.0   | 5904 | 2.7690          | 3.4372 | 51.1081 |
+| 1.3217        | 10.0  | 6560 | 2.7653          | 3.7244 | 49.8439 |
+| 1.2575        | 11.0  | 7216 | 2.7887          | 3.6186 | 49.3413 |
+| 1.1973        | 12.0  | 7872 | 2.8122          | 3.8069 | 49.3791 |
+| 1.1248        | 13.0  | 8528 | 2.8252          | 3.7416 | 48.4099 |
+| 1.0674        | 14.0  | 9184 | 2.8351          | 3.4472 | 49.9417 |
+| 1.0536        | 15.0  | 9840 | 2.8441          | 3.821  | 49.5575 |
+
+
+### Framework versions
+
+- Transformers 4.32.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.4
+- Tokenizers 0.13.3

generation_config.json

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+{
+  "bos_token_id": 0,
+  "decoder_start_token_id": 2,
+  "early_stopping": true,
+  "eos_token_id": 2,
+  "max_length": 200,
+  "num_beams": 5,
+  "pad_token_id": 1,
+  "transformers_version": "4.32.0"
+}

pytorch_model.bin

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