Training complete

README.md

@@ -0,0 +1,74 @@
+---
+license: apache-2.0
+base_model: Helsinki-NLP/opus-mt-pt-ca
+tags:
+- translation
+- generated_from_trainer
+datasets:
+- kde4
+metrics:
+- bleu
+model-index:
+- name: finetuned-kde4-pt-to-ca
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: kde4
+      type: kde4
+      config: ca-pt
+      split: train
+      args: ca-pt
+    metrics:
+    - name: Bleu
+      type: bleu
+      value: 76.02074317274858
+---
+
+<!-- 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. -->
+
+# finetuned-kde4-pt-to-ca
+
+This model is a fine-tuned version of [Helsinki-NLP/opus-mt-pt-ca](https://huggingface.co/Helsinki-NLP/opus-mt-pt-ca) on the kde4 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3194
+- Bleu: 76.0207
+
+## 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: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

generation_config.json

@@ -0,0 +1,16 @@
+{
+  "bad_words_ids": [
+    [
+      20553
+    ]
+  ],
+  "bos_token_id": 0,
+  "decoder_start_token_id": 20553,
+  "eos_token_id": 0,
+  "forced_eos_token_id": 0,
+  "max_length": 512,
+  "num_beams": 6,
+  "pad_token_id": 20553,
+  "renormalize_logits": true,
+  "transformers_version": "4.41.2"
+}