Commit
•
47071f4
1
Parent(s):
b7142dc
Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- README.md +87 -0
- added_tokens.json +3246 -0
- all_results.json +8 -0
- amr30_nl_test_predictions-preds-only.txt +0 -0
- amr30_nl_test_predictions-refs-only.txt +0 -0
- amr30_nl_test_predictions.tsv +0 -0
- amr30_nl_test_results.json +23 -0
- config.json +60 -0
- generation_config.json +10 -0
- model.safetensors +3 -0
- sentencepiece.bpe.model +3 -0
- special_tokens_map.json +42 -0
- tokenizer.json +3 -0
- tokenizer_config.json +24 -0
- train_results.json +8 -0
.gitattributes
CHANGED
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
ADDED
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@@ -0,0 +1,87 @@
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| 1 |
+
---
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+
base_model: facebook/mbart-large-cc25
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tags:
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- generated_from_trainer
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model-index:
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- name: nl+no_processing
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# nl+no_processing
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This model is a fine-tuned version of [facebook/mbart-large-cc25](https://huggingface.co/facebook/mbart-large-cc25) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6038
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- Smatch Precision: 73.7
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- Smatch Recall: 76.48
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- Smatch Fscore: 75.06
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- Smatch Unparsable: 0
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- Percent Not Recoverable: 0.2323
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 2
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- eval_batch_size: 2
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 16
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 25
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Smatch Precision | Smatch Recall | Smatch Fscore | Smatch Unparsable | Percent Not Recoverable |
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|:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:-------------:|:-----------------:|:-----------------------:|
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| 0.8025 | 1.0 | 3477 | 1.3793 | 18.51 | 65.71 | 28.88 | 0 | 0.0 |
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| 0.13 | 2.0 | 6954 | 0.9377 | 27.0 | 71.3 | 39.16 | 0 | 0.1161 |
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| 0.0953 | 3.0 | 10431 | 0.7509 | 34.09 | 72.74 | 46.42 | 0 | 0.1161 |
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| 0.1386 | 4.0 | 13908 | 0.8524 | 33.38 | 73.32 | 45.87 | 2 | 0.0 |
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| 0.0974 | 5.0 | 17385 | 0.6957 | 41.69 | 73.92 | 53.31 | 0 | 0.0 |
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| 0.0705 | 6.0 | 20862 | 0.6145 | 47.98 | 75.12 | 58.55 | 0 | 0.0 |
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| 0.2265 | 7.0 | 24339 | 0.6439 | 47.06 | 75.53 | 57.99 | 0 | 0.0 |
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| 0.0506 | 8.0 | 27817 | 0.5974 | 53.0 | 76.95 | 62.77 | 0 | 0.0 |
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| 0.064 | 9.0 | 31294 | 0.6387 | 51.83 | 77.47 | 62.11 | 0 | 0.0 |
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| 0.0112 | 10.0 | 34771 | 0.6066 | 54.82 | 76.98 | 64.03 | 0 | 0.0 |
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| 0.047 | 11.0 | 38248 | 0.5970 | 60.36 | 77.04 | 67.69 | 0 | 0.0 |
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| 0.0134 | 12.0 | 41725 | 0.5675 | 61.72 | 77.15 | 68.58 | 0 | 0.0 |
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| 0.0656 | 13.0 | 45202 | 0.6210 | 62.8 | 76.92 | 69.15 | 0 | 0.0581 |
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| 0.015 | 14.0 | 48679 | 0.6257 | 62.8 | 77.32 | 69.31 | 0 | 0.0 |
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| 0.0134 | 15.0 | 52156 | 0.5635 | 66.7 | 77.34 | 71.63 | 0 | 0.1161 |
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| 0.0265 | 16.0 | 55634 | 0.5839 | 67.61 | 76.76 | 71.89 | 0 | 0.0581 |
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| 0.0219 | 17.0 | 59111 | 0.5894 | 68.66 | 77.43 | 72.78 | 0 | 0.1161 |
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| 0.0008 | 18.0 | 62588 | 0.5981 | 68.44 | 77.57 | 72.72 | 0 | 0.0 |
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| 0.0157 | 19.0 | 66065 | 0.6184 | 69.88 | 77.42 | 73.46 | 0 | 0.0581 |
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| 0.0334 | 20.0 | 69542 | 0.6026 | 70.76 | 77.37 | 73.92 | 0 | 0.2323 |
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| 0.0619 | 21.0 | 73019 | 0.6021 | 72.03 | 77.0 | 74.44 | 0 | 0.1742 |
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| 0.0075 | 22.0 | 76496 | 0.6166 | 72.33 | 76.74 | 74.47 | 0 | 0.0581 |
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| 0.0164 | 23.0 | 79973 | 0.6100 | 72.75 | 77.03 | 74.83 | 0 | 0.2323 |
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| 0.0011 | 24.0 | 83451 | 0.6037 | 73.7 | 76.51 | 75.08 | 0 | 0.2323 |
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| 0.0865 | 25.0 | 86925 | 0.6038 | 73.7 | 76.48 | 75.06 | 0 | 0.2323 |
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### Framework versions
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- Transformers 4.34.0.dev0
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- Pytorch 2.0.1+cu117
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- Datasets 2.14.2
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- Tokenizers 0.13.3
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added_tokens.json
ADDED
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@@ -0,0 +1,3246 @@
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|
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|
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|
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|
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all_results.json
ADDED
|
@@ -0,0 +1,8 @@
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|
|
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|
|
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|
| 1 |
+
{
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| 2 |
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|
| 3 |
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"train_loss": 0.14703374169275124,
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|
| 6 |
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|
| 7 |
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|
| 8 |
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amr30_nl_test_predictions-preds-only.txt
ADDED
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amr30_nl_test_predictions-refs-only.txt
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amr30_nl_test_predictions.tsv
ADDED
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amr30_nl_test_results.json
ADDED
|
@@ -0,0 +1,23 @@
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|
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|
| 1 |
+
{
|
| 2 |
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"smatch_precision": {
|
| 3 |
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"result": 73.15,
|
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"ci": [
|
| 5 |
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72.35,
|
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|
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|
| 8 |
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| 9 |
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| 10 |
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|
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| 12 |
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|
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]
|
| 15 |
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| 16 |
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|
| 17 |
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|
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| 19 |
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|
| 20 |
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75.0
|
| 21 |
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|
| 22 |
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|
| 23 |
+
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config.json
ADDED
|
@@ -0,0 +1,60 @@
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| 1 |
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{
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| 2 |
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|
| 3 |
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|
| 4 |
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|
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|
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|
| 8 |
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"architectures": [
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|
| 10 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
| 28 |
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"id2label": {
|
| 29 |
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"0": "LABEL_0",
|
| 30 |
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"1": "LABEL_1",
|
| 31 |
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"2": "LABEL_2"
|
| 32 |
+
},
|
| 33 |
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|
| 34 |
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"is_encoder_decoder": true,
|
| 35 |
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| 39 |
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},
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| 40 |
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"max_length": 1024,
|
| 41 |
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"max_new_tokens": 512,
|
| 42 |
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"max_position_embeddings": 1024,
|
| 43 |
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"model_type": "mbart",
|
| 44 |
+
"normalize_before": true,
|
| 45 |
+
"normalize_embedding": true,
|
| 46 |
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"num_hidden_layers": 12,
|
| 47 |
+
"output_past": true,
|
| 48 |
+
"pad_token_id": 1,
|
| 49 |
+
"scale_embedding": true,
|
| 50 |
+
"static_position_embeddings": false,
|
| 51 |
+
"task_specific_params": {
|
| 52 |
+
"translation_en_to_ro": {
|
| 53 |
+
"decoder_start_token_id": 250020
|
| 54 |
+
}
|
| 55 |
+
},
|
| 56 |
+
"torch_dtype": "float32",
|
| 57 |
+
"transformers_version": "4.34.0.dev0",
|
| 58 |
+
"use_cache": true,
|
| 59 |
+
"vocab_size": 253271
|
| 60 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,10 @@
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| 1 |
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{
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|
| 6 |
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"max_length": 1024,
|
| 7 |
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"max_new_tokens": 512,
|
| 8 |
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"pad_token_id": 1,
|
| 9 |
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"transformers_version": "4.34.0.dev0"
|
| 10 |
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}
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:f574a22ca94bf4121305dce252132e2be703a3be925dd849a13e9e89df5c2aa9
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| 3 |
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size 2457768388
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sentencepiece.bpe.model
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:cfc8146abe2a0488e9e2a0c56de7952f7c11ab059eca145a0a727afce0db2865
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size 5069051
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special_tokens_map.json
ADDED
|
@@ -0,0 +1,42 @@
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|
| 1 |
+
{
|
| 2 |
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"additional_special_tokens": [
|
| 3 |
+
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|
| 4 |
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|
| 5 |
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|
| 6 |
+
"en_XX",
|
| 7 |
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"es_XX",
|
| 8 |
+
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
+
"kk_KZ",
|
| 16 |
+
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|
| 17 |
+
"lt_LT",
|
| 18 |
+
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|
| 19 |
+
"my_MM",
|
| 20 |
+
"ne_NP",
|
| 21 |
+
"nl_XX",
|
| 22 |
+
"ro_RO",
|
| 23 |
+
"ru_RU",
|
| 24 |
+
"si_LK",
|
| 25 |
+
"tr_TR",
|
| 26 |
+
"vi_VN",
|
| 27 |
+
"zh_CN"
|
| 28 |
+
],
|
| 29 |
+
"bos_token": "<s>",
|
| 30 |
+
"cls_token": "<s>",
|
| 31 |
+
"eos_token": "</s>",
|
| 32 |
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"mask_token": {
|
| 33 |
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"content": "<mask>",
|
| 34 |
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"lstrip": true,
|
| 35 |
+
"normalized": false,
|
| 36 |
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"rstrip": false,
|
| 37 |
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"single_word": false
|
| 38 |
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},
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| 39 |
+
"pad_token": "<pad>",
|
| 40 |
+
"sep_token": "</s>",
|
| 41 |
+
"unk_token": "<unk>"
|
| 42 |
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}
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:dd9afcb9ed7cea64c51b5b89e18919966cb73bc6ac1f92eaffa0232918b4f6bc
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| 3 |
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size 17693542
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tokenizer_config.json
ADDED
|
@@ -0,0 +1,24 @@
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|
| 1 |
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{
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| 2 |
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"add_prefix_space": true,
|
| 3 |
+
"additional_special_tokens": null,
|
| 4 |
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"bos_token": "<s>",
|
| 5 |
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"clean_up_tokenization_spaces": true,
|
| 6 |
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"cls_token": "<s>",
|
| 7 |
+
"eos_token": "</s>",
|
| 8 |
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"legacy": true,
|
| 9 |
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"mask_token": {
|
| 10 |
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"__type": "AddedToken",
|
| 11 |
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"content": "<mask>",
|
| 12 |
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"lstrip": true,
|
| 13 |
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"normalized": true,
|
| 14 |
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"rstrip": false,
|
| 15 |
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"single_word": false
|
| 16 |
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},
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| 17 |
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|
| 18 |
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"pad_token": "<pad>",
|
| 19 |
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"sep_token": "</s>",
|
| 20 |
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"src_lang": "en_XX",
|
| 21 |
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"tgt_lang": null,
|
| 22 |
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"tokenizer_class": "MBartTokenizer",
|
| 23 |
+
"unk_token": "<unk>"
|
| 24 |
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}
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
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|
| 1 |
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{
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| 2 |
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|
| 3 |
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|
| 4 |
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"train_runtime": 75652.2319,
|
| 5 |
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"train_samples": 55635,
|
| 6 |
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"train_samples_per_second": 18.385,
|
| 7 |
+
"train_steps_per_second": 1.149
|
| 8 |
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}
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