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Pictalk_large

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LucasMagnana/Pictalk

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  1. README.md +9 -9
  2. config.json +15 -14
  3. generation_config.json +5 -0
  4. model.safetensors +2 -2
  5. runs/Jan23_15-05-48_e2189d3addf8/events.out.tfevents.1706022349.e2189d3addf8.28574.0 +3 -0
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README.md CHANGED
@@ -1,6 +1,6 @@
1
  ---
2
  license: apache-2.0
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- base_model: distilbert-base-uncased
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  tags:
5
  - generated_from_trainer
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  model-index:
@@ -13,9 +13,9 @@ should probably proofread and complete it, then remove this comment. -->
13
 
14
  # pictalk
15
 
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- This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
18
- - Loss: 2.3449
19
 
20
  ## Model description
21
 
@@ -34,9 +34,9 @@ More information needed
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  ### Training hyperparameters
35
 
36
  The following hyperparameters were used during training:
37
- - learning_rate: 2e-05
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- - train_batch_size: 64
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- - eval_batch_size: 64
40
  - 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
@@ -47,9 +47,9 @@ The following hyperparameters were used during training:
47
 
48
  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 2.417 | 1.0 | 157 | 2.3258 |
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- | 2.3966 | 2.0 | 314 | 2.3879 |
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- | 2.3843 | 3.0 | 471 | 2.3541 |
53
 
54
 
55
  ### Framework versions
 
1
  ---
2
  license: apache-2.0
3
+ base_model: bert-large-uncased-whole-word-masking
4
  tags:
5
  - generated_from_trainer
6
  model-index:
 
13
 
14
  # pictalk
15
 
16
+ This model is a fine-tuned version of [bert-large-uncased-whole-word-masking](https://huggingface.co/bert-large-uncased-whole-word-masking) on an unknown dataset.
17
  It achieves the following results on the evaluation set:
18
+ - Loss: 1.5561
19
 
20
  ## Model description
21
 
 
34
  ### Training hyperparameters
35
 
36
  The following hyperparameters were used during training:
37
+ - learning_rate: 1e-05
38
+ - train_batch_size: 128
39
+ - eval_batch_size: 128
40
  - seed: 42
41
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
42
  - lr_scheduler_type: linear
 
47
 
48
  | Training Loss | Epoch | Step | Validation Loss |
49
  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.5356 | 1.0 | 21 | 1.4643 |
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+ | 0.5393 | 2.0 | 42 | 1.4886 |
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+ | 0.518 | 3.0 | 63 | 1.5391 |
53
 
54
 
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  ### Framework versions
config.json CHANGED
@@ -1,24 +1,25 @@
1
  {
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- "_name_or_path": "distilbert-base-uncased",
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- "activation": "gelu",
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  "architectures": [
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- "DistilBertForMaskedLM"
6
  ],
7
- "attention_dropout": 0.1,
8
- "dim": 768,
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- "dropout": 0.1,
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- "hidden_dim": 3072,
 
11
  "initializer_range": 0.02,
 
 
12
  "max_position_embeddings": 512,
13
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- "n_heads": 12,
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- "n_layers": 6,
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  "pad_token_id": 0,
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- "qa_dropout": 0.1,
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  "torch_dtype": "float32",
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  "transformers_version": "4.35.2",
 
 
23
  "vocab_size": 30522
24
  }
 
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2
+ "_name_or_path": "bert-large-uncased-whole-word-masking",
 
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  "architectures": [
4
+ "BertForMaskedLM"
5
  ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "classifier_dropout": null,
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+ "hidden_act": "gelu",
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  "initializer_range": 0.02,
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  "max_position_embeddings": 512,
15
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16
+ "num_attention_heads": 16,
17
+ "num_hidden_layers": 24,
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+ "position_embedding_type": "absolute",
 
 
 
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  "torch_dtype": "float32",
21
  "transformers_version": "4.35.2",
22
+ "type_vocab_size": 2,
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+ "use_cache": true,
24
  "vocab_size": 30522
25
  }
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