Commit From AutoNLP

.gitattributes

@@ -25,3 +25,5 @@ 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
+*.tar.gz filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,30 @@
+---
+tags: autonlp
+language: unk
+widget:
+- text: "I love AutoNLP 🤗"
+datasets:
+- arjun3816/autonlp-data-pegas_large_samsum
+---
+
+# Model Trained Using AutoNLP
+
+- Problem type: Summarization
+- Model ID: 15892673
+
+## Validation Metrics
+
+- Loss: 1.3661842346191406
+- Rouge1: 50.8868
+- Rouge2: 26.996
+- RougeL: 42.9088
+- RougeLsum: 46.6748
+- Gen Len: 20.716
+
+## 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 AutoNLP"}' https://api-inference.huggingface.co/arjun3816/autonlp-pegas_large_samsum-15892673
+```

config.json

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+{
+  "_name_or_path": "AutoNLP",
+  "activation_dropout": 0.1,
+  "activation_function": "relu",
+  "add_bias_logits": false,
+  "add_final_layer_norm": true,
+  "architectures": [
+    "PegasusForConditionalGeneration"
+  ],
+  "attention_dropout": 0.1,
+  "bos_token_id": 0,
+  "classif_dropout": 0.0,
+  "classifier_dropout": 0.0,
+  "d_model": 1024,
+  "decoder_attention_heads": 16,
+  "decoder_ffn_dim": 4096,
+  "decoder_layerdrop": 0.0,
+  "decoder_layers": 16,
+  "decoder_start_token_id": 0,
+  "dropout": 0.1,
+  "encoder_attention_heads": 16,
+  "encoder_ffn_dim": 4096,
+  "encoder_layerdrop": 0.0,
+  "encoder_layers": 16,
+  "eos_token_id": 1,
+  "extra_pos_embeddings": 1,
+  "force_bos_token_to_be_generated": false,
+  "forced_eos_token_id": 1,
+  "gradient_checkpointing": false,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2"
+  },
+  "init_std": 0.02,
+  "is_encoder_decoder": true,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2
+  },
+  "length_penalty": 0.8,
+  "max_length": 256,
+  "max_position_embeddings": 1024,
+  "model_type": "pegasus",
+  "normalize_before": true,
+  "normalize_embedding": false,
+  "num_beams": 8,
+  "num_hidden_layers": 16,
+  "pad_token_id": 0,
+  "scale_embedding": true,
+  "static_position_embeddings": true,
+  "task_specific_params": {
+    "summarization_aeslc": {
+      "length_penalty": 0.6,
+      "max_length": 32,
+      "max_position_embeddings": 512
+    },
+    "summarization_arxiv": {
+      "length_penalty": 0.8,
+      "max_length": 256,
+      "max_position_embeddings": 1024
+    },
+    "summarization_big_patent": {
+      "length_penalty": 0.7,
+      "max_length": 256,
+      "max_position_embeddings": 1024
+    },
+    "summarization_billsum": {
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+      "max_length": 256,
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+    },
+    "summarization_cnn_dailymail": {
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+      "max_length": 128,
+      "max_position_embeddings": 1024
+    },
+    "summarization_gigaword": {
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+      "max_length": 32,
+      "max_position_embeddings": 128
+    },
+    "summarization_large": {
+      "length_penalty": 0.8,
+      "max_length": 256,
+      "max_position_embeddings": 1024
+    },
+    "summarization_multi_news": {
+      "length_penalty": 0.8,
+      "max_length": 256,
+      "max_position_embeddings": 1024
+    },
+    "summarization_newsroom": {
+      "length_penalty": 0.8,
+      "max_length": 128,
+      "max_position_embeddings": 512
+    },
+    "summarization_pubmed": {
+      "length_penalty": 0.8,
+      "max_length": 256,
+      "max_position_embeddings": 1024
+    },
+    "summarization_reddit_tifu": {
+      "length_penalty": 0.6,
+      "max_length": 128,
+      "max_position_embeddings": 512
+    },
+    "summarization_wikihow": {
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+      "max_length": 256,
+      "max_position_embeddings": 512
+    },
+    "summarization_xsum": {
+      "length_penalty": 0.8,
+      "max_length": 64,
+      "max_position_embeddings": 512
+    }
+  },
+  "transformers_version": "4.8.0",
+  "use_cache": true,
+  "vocab_size": 96103
+}

pytorch_model.bin

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sample_input.pkl

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special_tokens_map.json

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spiece.model

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tokenizer_config.json

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