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-permutation
+
+This is [google/flan-t5-xl](https://huggingface.co/google/flan-t5-xl) fine-tuned on [relbert/semeval2012_relational_similarity](https://huggingface.co/datasets/relbert/semeval2012_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-permutation")
+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-epoch1-p/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 sha256:64934efd1032c883a606b4df97e6a79a1f375c4572e9d4bcb72df28596af7eae
-size 9449727999
+oid sha256:512382a19babb4c6471e199e50f03c73cba5fdf2145e49838e405b7246e7f9c8
+size 9449734591

pytorch_model-00002-of-00002.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3890b8807b7305d80cb1ee8a692b10d6964861dea9f9ab12e8d024fe4ae60759
-size 1949497635
+oid sha256:633b754b2eb658c1bb3d302e17c741fcc13548933e1d45997eb46dc6c96235a8
+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-epoch1-p/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 sha256:38116e13e634b07dbd857b6a0769ff15c4b0f06be436afebb76fe2b7e4b81d43
+size 3643

validation_accuracy.json

@@ -0,0 +1 @@
+{"accuracy": 0.7088607594936709, "dataset": "relbert/semeval2012_relational_similarity", "split": "validation"}