Commit From AutoTrain

.gitattributes

@@ -25,3 +25,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zstandard filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+*.bin.* filter=lfs diff=lfs merge=lfs -text
+*.tar.gz filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,32 @@
+---
+tags: autotrain
+language: unk
+widget:
+- text: "I love AutoTrain 🤗"
+datasets:
+- Chemsseddine/autotrain-data-bertSummGpt2
+co2_eq_emissions: 0.10685501288084795
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Summarization
+- Model ID: 980832493
+- CO2 Emissions (in grams): 0.10685501288084795
+
+## Validation Metrics
+
+- Loss: 4.03749418258667
+- Rouge1: 28.8384
+- Rouge2: 10.7511
+- RougeL: 27.0842
+- RougeLsum: 27.5118
+- Gen Len: 22.0625
+
+## Usage
+
+You can use cURL to access this model:
+
+```
+$ curl -X POST -H "Authorization: Bearer YOUR_HUGGINGFACE_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "I love AutoTrain"}' https://api-inference.huggingface.co/Chemsseddine/autotrain-bertSummGpt2-980832493
+```

config.json

@@ -0,0 +1,181 @@
+{
+  "_name_or_path": "AutoTrain",
+  "architectures": [
+    "EncoderDecoderModel"
+  ],
+  "decoder": {
+    "_name_or_path": "cahya/gpt2-small-indonesian-522M",
+    "activation_function": "gelu_new",
+    "add_cross_attention": true,
+    "architectures": [
+      "GPT2LMHeadModel"
+    ],
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+      "1": "LABEL_1"
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+    "max_length": 20,
+    "min_length": 0,
+    "model_type": "gpt2",
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+    "n_embd": 768,
+    "n_head": 12,
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+    "output_scores": false,
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+    "summary_proj_to_labels": true,
+    "summary_type": "cls_index",
+    "summary_use_proj": true,
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+    "temperature": 1.0,
+    "tie_encoder_decoder": false,
+    "tie_word_embeddings": true,
+    "tokenizer_class": null,
+    "top_k": 50,
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+    "vocab_size": 50257
+  },
+  "decoder_start_token_id": 3,
+  "early_stopping": true,
+  "encoder": {
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+    "add_cross_attention": false,
+    "architectures": [
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+    "num_hidden_layers": 12,
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+    "output_attentions": false,
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+    "temperature": 1.0,
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+    "top_p": 1.0,
+    "torch_dtype": null,
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+    "transformers_version": "4.15.0",
+    "type_vocab_size": 2,
+    "use_bfloat16": false,
+    "use_cache": true,
+    "vocab_size": 32000
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+  "is_encoder_decoder": true,
+  "length_penalty": 2.0,
+  "max_length": 40,
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+  "model_type": "encoder-decoder",
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+  "vocab_size": 50257
+}

pytorch_model.bin

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sample_input.pkl

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special_tokens_map.json

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+{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}

tokenizer_config.json

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