Commit From AutoTrain

.gitattributes

@@ -33,3 +33,6 @@ 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
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+*.bin.* filter=lfs diff=lfs merge=lfs -text
+*.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:
+- viditsorg/autotrain-data-summarization-xlsum
+co2_eq_emissions:
+  emissions: 1.1277935974066446
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Summarization
+- Model ID: 97044146774
+- CO2 Emissions (in grams): 1.1278
+
+## Validation Metrics
+
+- Loss: 1.931
+- Rouge1: 1.180
+- Rouge2: 0.000
+- RougeL: 1.475
+- RougeLsum: 1.475
+- Gen Len: 73.239
+
+## 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/viditsorg/autotrain-summarization-xlsum-97044146774
+```

config.json

@@ -0,0 +1,36 @@
+{
+  "_name_or_path": "AutoTrain",
+  "architectures": [
+    "MT5ForConditionalGeneration"
+  ],
+  "d_ff": 2048,
+  "d_kv": 64,
+  "d_model": 768,
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+  "dense_act_fn": "gelu_new",
+  "dropout_rate": 0.1,
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+  "feed_forward_proj": "gated-gelu",
+  "initializer_factor": 1.0,
+  "is_encoder_decoder": true,
+  "is_gated_act": true,
+  "layer_norm_epsilon": 1e-06,
+  "length_penalty": 0.6,
+  "max_length": 84,
+  "model_type": "mt5",
+  "no_repeat_ngram_size": 2,
+  "num_beams": 4,
+  "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,
+  "tokenizer_class": "T5Tokenizer",
+  "torch_dtype": "float32",
+  "transformers_version": "4.29.2",
+  "use_cache": true,
+  "vocab_size": 250112
+}

generation_config.json

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+{
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+  "eos_token_id": 1,
+  "length_penalty": 0.6,
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+  "no_repeat_ngram_size": 2,
+  "num_beams": 4,
+  "pad_token_id": 0,
+  "transformers_version": "4.29.2"
+}

model.safetensors

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special_tokens_map.json

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+}

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tokenizer_config.json

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+}