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Upload utg4java model pretrained on codet5p-220m using batch_size 64

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README.md CHANGED
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- ---
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- license: apache-2.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: bsd-3-clause
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+ base_model: Salesforce/codet5p-220m
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: pretrain_utg4java_02
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+ results: []
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+ ---
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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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+
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+ # pretrain_utg4java_02
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+
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+ This model is a fine-tuned version of [Salesforce/codet5p-220m](https://huggingface.co/Salesforce/codet5p-220m) on an unknown dataset.
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.0002
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+ - train_batch_size: 64
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+ - eval_batch_size: 128
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+ - seed: 42
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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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+ - lr_scheduler_warmup_steps: 1000
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+ - num_epochs: 40
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+ - mixed_precision_training: Native AMP
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+
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+ ### Framework versions
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+
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+ - Transformers 4.38.2
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+ - Pytorch 2.1.0
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+ - Datasets 2.19.0
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+ - Tokenizers 0.15.2
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+ {
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+ "epoch": 40.0,
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+ "test_loss": 0.20962746441364288,
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+ "test_runtime": 564.3642,
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+ "test_samples_per_second": 33.338,
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+ "test_steps_per_second": 0.26,
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+ "train_loss": 0.2880888063569923,
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+ "train_runtime": 54838.0441,
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+ "train_samples_per_second": 109.795,
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+ "train_steps_per_second": 1.715
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+ }
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+ T5Config {
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+ "_name_or_path": "Salesforce/codet5p-220m",
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+ "architectures": [
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+ "T5ForConditionalGeneration"
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+ ],
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+ "bos_token_id": 1,
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+ "classifier_dropout": 0.0,
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+ "d_ff": 3072,
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+ "d_kv": 64,
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+ "d_model": 768,
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+ "decoder_start_token_id": 0,
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+ "dense_act_fn": "relu",
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+ "dropout_rate": 0.1,
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+ "eos_token_id": 2,
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+ "feed_forward_proj": "relu",
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+ "initializer_factor": 1.0,
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+ "is_encoder_decoder": true,
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+ "is_gated_act": false,
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+ "layer_norm_epsilon": 1e-06,
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+ "model_type": "t5",
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+ "n_positions": 512,
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+ "num_decoder_layers": 12,
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+ "num_heads": 12,
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+ "num_layers": 12,
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+ "output_past": true,
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+ "pad_token_id": 0,
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+ "relative_attention_max_distance": 128,
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+ "relative_attention_num_buckets": 32,
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+ "torch_dtype": "float16",
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+ "transformers_version": "4.38.2",
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+ "use_cache": true,
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+ "vocab_size": 32100
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+ }
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+ {
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+ "_name_or_path": "Salesforce/codet5p-220m",
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+ "dropout_rate": 0.1,
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+ "is_encoder_decoder": true,
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+ "is_gated_act": false,
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+ "layer_norm_epsilon": 1e-06,
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+ "model_type": "t5",
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+ "num_decoder_layers": 12,
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+ "num_layers": 12,
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+ "output_past": true,
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+ "pad_token_id": 0,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.38.2",
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+ "use_cache": true,
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+ "vocab_size": 32100
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+ }
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utg4java_pretrain_results.txt ADDED
@@ -0,0 +1,60 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ SUMMARY MODEL:
2
+
3
+ Model Params Size: 222882048
4
+ Model Params Size Formatted: 222.88 M
5
+ Model Disk Size: 891648255
6
+ Model Disk Size Formatted: 891.65 MB
7
+
8
+
9
+ TRAINING AND VALIDATION RESULTS:
10
+
11
+ Training batch size: 64
12
+ Validation batch size: 128
13
+ Total expected epochs: 40
14
+ Total expected trainig steps: 94040
15
+ Total expected trainig steps 2: 94040
16
+ Total trained epochs: 40.0
17
+ Total trained steps: 94040
18
+ Elapsed time: 54841.370337963104 seconds
19
+ Elapsed time (formatted): 15:14:01
20
+ Total flos: 3.6650496018087936e+18
21
+ Total flos (formatted): 3.665050e+18
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+ Best epoch val_loss: 0.20909027755260468
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+ Best model checkpoint: /root/pretrain_utg4java_02/checkpoint-91689
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+
25
+
26
+
27
+ SUMMARY DATASETS:
28
+
29
+ Loaded Dataset:
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+ DatasetDict({
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+ train: Dataset({
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+ features: ['text'],
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+ num_rows: 150523
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+ })
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+ valid: Dataset({
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+ features: ['text'],
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+ num_rows: 18816
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+ })
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+ test: Dataset({
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+ features: ['text'],
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+ num_rows: 18815
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+ })
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+ })
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+
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+ Tokenized Dataset:
46
+ DatasetDict({
47
+ train: Dataset({
48
+ features: ['input_ids'],
49
+ num_rows: 150523
50
+ })
51
+ valid: Dataset({
52
+ features: ['input_ids'],
53
+ num_rows: 18816
54
+ })
55
+ test: Dataset({
56
+ features: ['input_ids'],
57
+ num_rows: 18815
58
+ })
59
+ })
60
+
vocab.json ADDED
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