Commit From AutoTrain

.gitattributes

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 *.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

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+---
+tags: autotrain
+language: unk
+widget:
+- text: "I love AutoTrain 🤗"
+datasets:
+- abd-1999/autotrain-data-bbc-news-summarization
+co2_eq_emissions: 2313.4037079026934
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Summarization
+- Model ID: 694821095
+- CO2 Emissions (in grams): 2313.4037079026934
+
+## Validation Metrics
+
+- Loss: 3.0294156074523926
+- Rouge1: 2.1467
+- Rouge2: 0.0853
+- RougeL: 2.1524
+- RougeLsum: 2.1534
+- Gen Len: 18.5603
+
+## 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/abd-1999/autotrain-bbc-news-summarization-694821095
+```

config.json

@@ -0,0 +1,28 @@
+{
+  "_name_or_path": "AutoTrain",
+  "architectures": [
+    "T5ForConditionalGeneration"
+  ],
+  "d_ff": 2048,
+  "d_kv": 64,
+  "d_model": 768,
+  "decoder_start_token_id": 0,
+  "dropout_rate": 0.1,
+  "eos_token_id": 1,
+  "feed_forward_proj": "gated-gelu",
+  "gradient_checkpointing": false,
+  "initializer_factor": 1.0,
+  "is_encoder_decoder": true,
+  "layer_norm_epsilon": 1e-06,
+  "model_type": "t5",
+  "num_decoder_layers": 12,
+  "num_heads": 12,
+  "num_layers": 12,
+  "output_past": true,
+  "pad_token_id": 0,
+  "relative_attention_num_buckets": 32,
+  "torch_dtype": "float32",
+  "transformers_version": "4.15.0",
+  "use_cache": true,
+  "vocab_size": 110080
+}

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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