Commit From AutoTrain

.gitattributes

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+*.tar.gz filter=lfs diff=lfs merge=lfs -text
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README.md

@@ -0,0 +1,32 @@
+---
+tags: autotrain
+language: unk
+widget:
+- text: "I love AutoTrain 🤗"
+datasets:
+- zhifei/autotrain-data-chinese-title-summarization-8
+co2_eq_emissions: 1.4118255120710663
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Summarization
+- Model ID: 1101140174
+- CO2 Emissions (in grams): 1.4118255120710663
+
+## Validation Metrics
+
+- Loss: 0.0049639358185231686
+- Rouge1: 49.3333
+- Rouge2: 26.6667
+- RougeL: 49.3333
+- RougeLsum: 49.3333
+- Gen Len: 15.12
+
+## 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/zhifei/autotrain-chinese-title-summarization-8-1101140174
+```

config.json

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+{
+  "_name_or_path": "AutoTrain",
+  "architectures": [
+    "MT5ForConditionalGeneration"
+  ],
+  "d_ff": 1024,
+  "d_kv": 64,
+  "d_model": 512,
+  "decoder_start_token_id": 0,
+  "dropout_rate": 0.1,
+  "eos_token_id": 1,
+  "feed_forward_proj": "gated-gelu",
+  "initializer_factor": 1.0,
+  "is_encoder_decoder": true,
+  "layer_norm_epsilon": 1e-06,
+  "model_type": "mt5",
+  "num_decoder_layers": 8,
+  "num_heads": 6,
+  "num_layers": 8,
+  "pad_token_id": 0,
+  "relative_attention_max_distance": 128,
+  "relative_attention_num_buckets": 32,
+  "tie_word_embeddings": false,
+  "tokenizer_class": "T5Tokenizer",
+  "torch_dtype": "float32",
+  "transformers_version": "4.15.0",
+  "use_cache": true,
+  "vocab_size": 250100
+}

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special_tokens_map.json

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tokenizer_config.json

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