tjasad/translation_slo_eng_mt5_base

README.md

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+---
+license: apache-2.0
+base_model: Helsinki-NLP/opus-mt-sla-en
+tags:
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: translation_slo_eng_mt5_base
+  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. -->
+
+# translation_slo_eng_mt5_base
+
+This model is a fine-tuned version of [Helsinki-NLP/opus-mt-sla-en](https://huggingface.co/Helsinki-NLP/opus-mt-sla-en) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4506
+- Bleu: 40.4634
+- Gen Len: 13.3812
+
+## 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: 1
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
+| 1.5663        | 1.0   | 5000 | 1.4506          | 40.4634 | 13.3812 |
+
+
+### Framework versions
+
+- Transformers 4.40.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

generation_config.json

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+{
+  "bad_words_ids": [
+    [
+      58815
+    ]
+  ],
+  "bos_token_id": 0,
+  "decoder_start_token_id": 58815,
+  "eos_token_id": 0,
+  "forced_eos_token_id": 0,
+  "max_length": 512,
+  "num_beams": 6,
+  "pad_token_id": 58815,
+  "renormalize_logits": true,
+  "transformers_version": "4.40.2"
+}

runs/May20_05-28-47_f0c1ec067eb7/events.out.tfevents.1716182936.f0c1ec067eb7.3757.0

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