End of training

README.md

@@ -0,0 +1,87 @@
+---
+license: cc-by-nc-4.0
+base_model: facebook/nllb-200-distilled-600M
+tags:
+- generated_from_trainer
+datasets:
+- nusatranslation_mt
+metrics:
+- sacrebleu
+model-index:
+- name: ind-to-bbc-nmt-v7
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: nusatranslation_mt
+      type: nusatranslation_mt
+      config: nusatranslation_mt_btk_ind_source
+      split: test
+      args: nusatranslation_mt_btk_ind_source
+    metrics:
+    - name: Sacrebleu
+      type: sacrebleu
+      value: 31.4148
+---
+
+<!-- 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. -->
+
+# ind-to-bbc-nmt-v7
+
+This model is a fine-tuned version of [facebook/nllb-200-distilled-600M](https://huggingface.co/facebook/nllb-200-distilled-600M) on the nusatranslation_mt dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1534
+- Sacrebleu: 31.4148
+- Gen Len: 45.246
+
+## 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-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Sacrebleu | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
+| 5.1799        | 1.0   | 413  | 2.3351          | 25.3863   | 45.489  |
+| 1.6805        | 2.0   | 826  | 1.3384          | 30.3818   | 45.661  |
+| 1.2114        | 3.0   | 1239 | 1.2202          | 30.9982   | 45.562  |
+| 1.0517        | 4.0   | 1652 | 1.1827          | 31.2905   | 45.3925 |
+| 0.9461        | 5.0   | 2065 | 1.1678          | 31.6094   | 45.2625 |
+| 0.8728        | 6.0   | 2478 | 1.1471          | 31.2517   | 45.4265 |
+| 0.8153        | 7.0   | 2891 | 1.1497          | 31.332    | 45.1645 |
+| 0.7719        | 8.0   | 3304 | 1.1467          | 31.372    | 45.3915 |
+| 0.743         | 9.0   | 3717 | 1.1491          | 31.4979   | 45.0825 |
+| 0.7204        | 10.0  | 4130 | 1.1534          | 31.4148   | 45.246  |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.14.6
+- Tokenizers 0.19.1

generation_config.json

@@ -0,0 +1,8 @@
+{
+  "bos_token_id": 0,
+  "decoder_start_token_id": 2,
+  "eos_token_id": 2,
+  "max_length": 200,
+  "pad_token_id": 1,
+  "transformers_version": "4.41.2"
+}

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ae6b8bdbc676d29350ff9d1f9c6520b70815a614eb9205f2d5de108169697091
+oid sha256:8b9cf568c16b8d620c08175c5c9cfd0d0149da8f2d1b739e4f91356cc07de9d0
 size 2460354912

runs/Jul13_04-34-43_592ba6d38807/events.out.tfevents.1720845287.592ba6d38807.1247.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f1986c5d872bb79035ceb27fab99cb1b5da9d7bc59bb55915cce49b28e3c7818
-size 11074
+oid sha256:046c9f7534980c6a57ba7841777703f3a68aef806fd1ad73a7280d169a87185f
+size 11428