Commit From AutoTrain

.gitattributes

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 *.zst filter=lfs diff=lfs merge=lfs -text
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+*.tar.gz filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,36 @@
+---
+tags:
+- autotrain
+- summarization
+language:
+- unk
+widget:
+- text: "I love AutoTrain 🤗"
+datasets:
+- krenerd/autotrain-data-t5baseparaphrase
+co2_eq_emissions:
+  emissions: 2.6793230772092427
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Summarization
+- Model ID: 42430108692
+- CO2 Emissions (in grams): 2.6793
+
+## Validation Metrics
+
+- Loss: 0.072
+- Rouge1: 63.306
+- Rouge2: 53.109
+- RougeL: 62.478
+- RougeLsum: 62.252
+- Gen Len: 202.325
+
+## 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/krenerd/autotrain-t5baseparaphrase-42430108692
+```

config.json

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+  "feed_forward_proj": "gated-gelu",
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+  "is_gated_act": true,
+  "layer_norm_epsilon": 1e-06,
+  "max_length": 512,
+  "model_type": "t5",
+  "num_decoder_layers": 12,
+  "num_heads": 12,
+  "num_layers": 12,
+  "output_past": true,
+  "pad_token_id": 0,
+  "relative_attention_max_distance": 128,
+  "relative_attention_num_buckets": 32,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.25.1",
+  "use_cache": true,
+  "vocab_size": 50358
+}

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special_tokens_map.json

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