Model save

README.md

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+---
+base_model: heisenberg1337/m2m100_418M_tq_fr
+tags:
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: m2m100_418M_tq_fr_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_tq_fr_1
+
+This model is a fine-tuned version of [heisenberg1337/m2m100_418M_tq_fr](https://huggingface.co/heisenberg1337/m2m100_418M_tq_fr) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8665
+- Bleu: 5.8216
+
+## 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: 5e-06
+- train_batch_size: 12
+- eval_batch_size: 12
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 96
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 30
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Bleu   |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.8405        | 0.97  | 100  | 0.8682          | 5.4390 |
+| 0.8303        | 1.94  | 200  | 0.8661          | 5.3736 |
+| 0.8245        | 2.91  | 300  | 0.8616          | 5.5394 |
+| 0.807         | 3.87  | 400  | 0.8632          | 5.4620 |
+| 0.7954        | 4.84  | 500  | 0.8637          | 5.6718 |
+| 0.7827        | 5.81  | 600  | 0.8665          | 5.8216 |
+
+
+### Framework versions
+
+- Transformers 4.32.0
+- Pytorch 2.0.0
+- Datasets 2.1.0
+- 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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