Model save

README.md

@@ -0,0 +1,93 @@
+---
+tags:
+- generated_from_trainer
+datasets:
+- data
+metrics:
+- bleu
+model-index:
+- name: mbart-en-id-smaller-indo-amr-generation-translated-nafkhan
+  results:
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: data
+      type: data
+      config: default
+      split: validation
+      args: default
+    metrics:
+    - name: Bleu
+      type: bleu
+      value: 50.4231
+---
+
+<!-- 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. -->
+
+# mbart-en-id-smaller-indo-amr-generation-translated-nafkhan
+
+This model was trained from scratch on the data dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.9816
+- Bleu: 50.4231
+- Gen Len: 8.2667
+
+## 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: 1e-06
+- train_batch_size: 5
+- eval_batch_size: 5
+- seed: 42
+- gradient_accumulation_steps: 5
+- total_train_batch_size: 25
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: polynomial
+- lr_scheduler_warmup_steps: 200
+- num_epochs: 640.0
+- label_smoothing_factor: 0.1
+
+### Training results
+
+| Training Loss | Epoch    | Step  | Validation Loss | Bleu    | Gen Len |
+|:-------------:|:--------:|:-----:|:---------------:|:-------:|:-------:|
+| 1.5364        | 39.7351  | 3600  | 2.0474          | 41.1359 | 9.5667  |
+| 1.4794        | 79.4702  | 7200  | 2.0256          | 44.4125 | 9.0667  |
+| 1.3621        | 119.2053 | 10800 | 2.0037          | 49.121  | 8.8     |
+| 1.3278        | 158.9404 | 14400 | 1.9857          | 52.1498 | 8.5     |
+| 1.2906        | 198.6755 | 18000 | 2.0048          | 48.3044 | 8.5333  |
+| 1.2272        | 238.4106 | 21600 | 2.0017          | 47.3367 | 8.6     |
+| 1.2339        | 278.1457 | 25200 | 1.9705          | 46.5655 | 8.5667  |
+| 1.194         | 317.8808 | 28800 | 1.9818          | 51.4066 | 8.5     |
+| 1.1416        | 357.6159 | 32400 | 1.9699          | 45.7022 | 8.4333  |
+| 1.1437        | 397.3510 | 36000 | 1.9692          | 46.8726 | 8.2     |
+| 1.156         | 437.0861 | 39600 | 1.9549          | 48.7386 | 8.4333  |
+| 1.1355        | 476.8212 | 43200 | 1.9726          | 48.3929 | 8.5667  |
+| 1.1246        | 516.5563 | 46800 | 1.9701          | 47.8897 | 8.4667  |
+| 1.1132        | 556.2914 | 50400 | 1.9736          | 48.9071 | 8.3667  |
+| 1.0843        | 596.0265 | 54000 | 1.9765          | 49.9897 | 8.4333  |
+| 1.1211        | 635.7616 | 57600 | 1.9816          | 50.4231 | 8.2667  |
+
+
+### Framework versions
+
+- Transformers 4.44.0
+- Pytorch 2.4.0
+- Datasets 2.20.0
+- Tokenizers 0.19.1

generation_config.json

@@ -0,0 +1,12 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "decoder_start_token_id": 2,
+  "early_stopping": true,
+  "eos_token_id": 2,
+  "forced_eos_token_id": 2,
+  "max_length": 200,
+  "num_beams": 5,
+  "pad_token_id": 1,
+  "transformers_version": "4.44.0"
+}

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7697c1f1adb8e015d5c3f3c0b2864dbad3627bcaec5427bbce6ed72735228e4a
+oid sha256:2a9d10b584cec8273eca5d86cc6016f2c25559a476d52f85256fa198af4ac99a
 size 1575259780

run-2024-10-02T06:53:25+00:00.log

@@ -3167,3 +3167,10 @@ Non-default generation parameters: {'max_length': 200, 'early_stopping': True, '
 
 
                                             [WARNING|configuration_utils.py:448] 2024-10-02 17:02:24,528 >> Some non-default generation parameters are set in the model config. These should go into a GenerationConfig file (https://huggingface.co/docs/transformers/generation_strategies#save-a-custom-decoding-strategy-with-your-model) instead. This warning will be raised to an exception in v4.41.
 Non-default generation parameters: {'max_length': 200, 'early_stopping': True, 'num_beams': 5, 'forced_eos_token_id': 2}
+[WARNING|trainer.py:2764] 2024-10-02 17:03:31,472 >> There were missing keys in the checkpoint model loaded: ['model.encoder.embed_tokens.weight', 'model.decoder.embed_tokens.weight', 'lm_head.weight'].
+
                                                        
+
+[WARNING|configuration_utils.py:448] 2024-10-02 17:04:57,059 >> Some non-default generation parameters are set in the model config. These should go into a GenerationConfig file (https://huggingface.co/docs/transformers/generation_strategies#save-a-custom-decoding-strategy-with-your-model) instead. This warning will be raised to an exception in v4.41.
+Non-default generation parameters: {'max_length': 200, 'early_stopping': True, 'num_beams': 5, 'forced_eos_token_id': 2}
+[WARNING|configuration_utils.py:448] 2024-10-02 17:05:03,905 >> Some non-default generation parameters are set in the model config. These should go into a GenerationConfig file (https://huggingface.co/docs/transformers/generation_strategies#save-a-custom-decoding-strategy-with-your-model) instead. This warning will be raised to an exception in v4.41.
+Non-default generation parameters: {'max_length': 200, 'early_stopping': True, 'num_beams': 5, 'forced_eos_token_id': 2}