Update from weiding

README.md

@@ -0,0 +1,7 @@
+---
+tags:
+- summarization
+widget:
+- text: "func ( pr * Progress ) needSnapshotAbort ( ) bool { return pr . State == ProgressStateSnapshot && pr . Match >= pr . PendingSnapshot   }"
+
+---

config.json

@@ -0,0 +1,30 @@
+{
+  "architectures": [
+    "T5Model"
+  ],
+  "d_ff": 3072,
+  "d_kv": 64,
+  "d_model": 768,
+  "decoder_start_token_id": 0,
+  "dropout_rate": 0.1,
+  "eos_token_id": 1,
+  "initializer_factor": 1.0,
+  "is_encoder_decoder": true,
+  "layer_norm_epsilon": 1e-06,
+  "model_type": "t5",
+  "n_positions": 512,
+  "num_decoder_layers": 12,
+  "num_heads": 12,
+  "num_layers": 12,
+  "output_past": true,
+  "pad_token_id": 0,
+  "relative_attention_num_buckets": 32,
+  "task_specific_params": {
+    "summarization": {
+      "max_length": 512,
+      "num_beams": 4,
+      "prefix": "function documentation generation go: "
+    }
+  },
+  "vocab_size": 32128
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:f8972b64b08594d7d1540503fd85b9cf9e5405e0cdbb8db58dc2405e6bf1fb19
+size 891734137

t5_base_config.json

@@ -0,0 +1,29 @@
+{
+  "architectures": [
+    "T5WithLMHeadModel"
+  ],
+  "d_ff": 3072,
+  "d_kv": 64,
+  "d_model": 768,
+  "decoder_start_token_id": 0,
+  "dropout_rate": 0.1,
+  "eos_token_id": 1,
+  "initializer_factor": 1.0,
+  "is_encoder_decoder": true,
+  "layer_norm_epsilon": 1e-06,
+  "model_type": "t5",
+  "n_positions": 512,
+  "num_heads": 12,
+  "num_layers": 12,
+  "output_past": true,
+  "pad_token_id": 0,
+  "relative_attention_num_buckets": 32,
+  "task_specific_params": {
+    "summarization": {
+      "max_length": 512,
+      "num_beams": 4,
+      "prefix": "function documentation generation go: "
+    }
+  },
+  "vocab_size": 32128
+}

t5_small_config.json

@@ -0,0 +1,29 @@
+{
+  "architectures": [
+    "T5WithLMHeadModel"
+  ],
+  "d_ff": 2048,
+  "d_kv": 64,
+  "d_model": 512,
+  "decoder_start_token_id": 0,
+  "dropout_rate": 0.1,
+  "eos_token_id": 1,
+  "initializer_factor": 1.0,
+  "is_encoder_decoder": true,
+  "layer_norm_epsilon": 1e-06,
+  "model_type": "t5",
+  "n_positions": 512,
+  "num_heads": 8,
+  "num_layers": 6,
+  "output_past": true,
+  "pad_token_id": 0,
+  "relative_attention_num_buckets": 32,
+  "task_specific_params": {
+    "summarization": {
+      "max_length": 512,
+      "num_beams": 4,
+      "prefix": "function documentation generation go: "
+    }
+  },
+  "vocab_size": 32128
+}

tokenizer_config.json

@@ -0,0 +1 @@
+{"do_lower_case": false}