model update

README.md

@@ -0,0 +1,28 @@
+
+---
+widget:
+- text: "generate analogy: mammal is to whale"
+  example_title: "Analogy Example 1 (semantic relation)"
+- text: "generate analogy: wedding is to marriage"
+  example_title: "Analogy Example 1 (semantic relation, metaphor)"
+- text: "generate analogy: London is to U.K."
+  example_title: "Analogy Example 2 (entity)"
+- text: "generate analogy: actual is to actually"
+  example_title: "Analogy Example 3 (morphological)"
+---
+# relbert/flan-t5-xl-analogy-conceptnet
+
+This is [google/flan-t5-xl](https://huggingface.co/google/flan-t5-xl) fine-tuned on [relbert/conceptnet_relational_similarity](https://huggingface.co/datasets/relbert/conceptnet_relational_similarity) 
+for analogy generation, which is to generate a word pair (eg. `bird is to crow`) given a query (eg. `mammal is to whale`) 
+so that the query and the generated word pair form an analogy statement.  
+
+### Usage
+
+```python
+from transformers import pipeline
+
+pipe = pipeline('text2text-generation', model="relbert/flan-t5-xl-analogy-conceptnet")
+output = pipe("generate analogy: mammal is to whale")
+print(output)
+>>> [{'generated_text': 'bird is to crow'}]
+```

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "analogy_models/flan-t5-xl-analogy-epoch3/model",
+  "_name_or_path": "google/flan-t5-xl",
   "architectures": [
     "T5ForConditionalGeneration"
   ],

pytorch_model-00001-of-00002.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ff4f4b0bfdcb41277948218d044a2437b2370cbbd55d8cecea4dee77959c5ccd
-size 9449727999
+oid sha256:4ba41a6837d7569e27f92eb656ea54f3defbf5281e2e0356782c4859401474ff
+size 9449734591

pytorch_model-00002-of-00002.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:31565ce407929c850d63e5e540578534f9d6d29babaf7271c448290859f03e87
-size 1949497635
+oid sha256:a412d2d52bda36ab19ca9a904dfb092659d5054d53702fb0530d1581d5e3d639
+size 1949498851

tokenizer_config.json

@@ -104,7 +104,7 @@
   "eos_token": "</s>",
   "extra_ids": 100,
   "model_max_length": 512,
-  "name_or_path": "analogy_models/flan-t5-xl-analogy-epoch3/model",
+  "name_or_path": "google/flan-t5-xl",
   "pad_token": "<pad>",
   "sp_model_kwargs": {},
   "special_tokens_map_file": "/home/arthur_huggingface_co/.cache/huggingface/hub/models--google--t5-v1_1-small/snapshots/fb7e6cba609f7bab11c614294bc04f82f613c7b1/special_tokens_map.json",

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9bb3543c0d41699f812f34dd41c5206893fd42099abc5a325d758baac8aa3c14
+size 3643

validation_accuracy.json

@@ -0,0 +1 @@
+{"accuracy": 0.3333333333333333, "dataset": "relbert/conceptnet_relational_similarity", "split": "validation"}