Commit From AutoTrain

.gitattributes

@@ -32,3 +32,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
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+*.tar.gz filter=lfs diff=lfs merge=lfs -text
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README.md

@@ -0,0 +1,36 @@
+---
+tags:
+- autotrain
+- summarization
+language:
+- unk
+widget:
+- text: "I love AutoTrain 🤗"
+datasets:
+- ell-hol/autotrain-data-mt5-dialogsum
+co2_eq_emissions:
+  emissions: 248.06396898781733
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Summarization
+- Model ID: 2644579647
+- CO2 Emissions (in grams): 248.0640
+
+## Validation Metrics
+
+- Loss: 1.316
+- Rouge1: 40.914
+- Rouge2: 16.140
+- RougeL: 33.122
+- RougeLsum: 35.661
+- Gen Len: 34.075
+
+## 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/ell-hol/autotrain-mt5-dialogsum-2644579647
+```

config.json

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+{
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+    "MT5ForConditionalGeneration"
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+  "layer_norm_epsilon": 1e-06,
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+  "model_type": "mt5",
+  "no_repeat_ngram_size": 2,
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+  "num_decoder_layers": 12,
+  "num_heads": 12,
+  "num_layers": 12,
+  "output_past": true,
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+  "relative_attention_max_distance": 128,
+  "relative_attention_num_buckets": 32,
+  "tie_word_embeddings": false,
+  "tokenizer_class": "T5Tokenizer",
+  "torch_dtype": "float32",
+  "transformers_version": "4.25.1",
+  "use_cache": true,
+  "vocab_size": 250112
+}

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special_tokens_map.json

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tokenizer_config.json

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