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Commit189e9f0

Santi Adavani

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Added indent for info display

1 parentcf66c0c commit189e9f0Copy full SHA for 189e9f0

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pgml-extension/src/bindings/transformers
- transformers.py

1 file changed

+13

-6

lines changed

`‎pgml-extension/src/bindings/transformers/transformers.py‎`

Lines changed: 13 additions & 6 deletions

Original file line number	Diff line number	Diff line change
`@@ -990,7 +990,7 @@ def on_log(self, args, state, control, logs=None, **kwargs):`
`990`	`990`	`logs["step"]=state.global_step`
`991`	`991`	`logs["max_steps"]=state.max_steps`
`992`	`992`	`logs["timestamp"]=str(datetime.now())`
`993`		`-print_info(json.dumps(logs))`
	`993`	`+print_info(json.dumps(logs,indent=4))`
`994`	`994`	`insert_logs(self.project_id,self.model_id,json.dumps(logs))`
`995`	`995`
`996`	`996`
`@@ -1248,7 +1248,6 @@ def evaluate(self):`
`1248`	`1248`
`1249`	`1249`	`if"eval_accuracy"inmetrics.keys():`
`1250`	`1250`	`metrics["accuracy"]=metrics.pop("eval_accuracy")`
`1251`		`-`
`1252`	`1251`
`1253`	`1252`	`# Drop all the keys that are not floats or ints to be compatible for pgml-extension metrics typechecks`
`1254`	`1253`	`metrics= {`
`@@ -1259,6 +1258,7 @@ def evaluate(self):`
`1259`	`1258`
`1260`	`1259`	`returnmetrics`
`1261`	`1260`
	`1261`	`+`
`1262`	`1262`	`classFineTuningTextPairClassification(FineTuningTextClassification):`
`1263`	`1263`	`def__init__(`
`1264`	`1264`	`self,`
`@@ -1286,7 +1286,7 @@ def __init__(`
`1286`	`1286`	`super().__init__(`
`1287`	`1287`	`project_id,model_id,train_dataset,test_dataset,path,hyperparameters`
`1288`	`1288`	`)`
`1289`		`-`
	`1289`	`+`
`1290`	`1290`	`deftokenize_function(self,example):`
`1291`	`1291`	`"""`
`1292`	`1292`	`Tokenizes the input text using the tokenizer specified in the class.`
`@@ -1299,13 +1299,20 @@ def tokenize_function(self, example):`
`1299`	`1299`
`1300`	`1300`	`"""`
`1301`	`1301`	`ifself.tokenizer_args:`
`1302`		`-tokenized_example=self.tokenizer(example["text1"],example["text2"],**self.tokenizer_args)`
	`1302`	`+tokenized_example=self.tokenizer(`
	`1303`	`+example["text1"],example["text2"],**self.tokenizer_args`
	`1304`	`+ )`
`1303`	`1305`	`else:`
`1304`	`1306`	`tokenized_example=self.tokenizer(`
`1305`		`-example["text1"],example["text2"],padding=True,truncation=True,return_tensors="pt"`
	`1307`	`+example["text1"],`
	`1308`	`+example["text2"],`
	`1309`	`+padding=True,`
	`1310`	`+truncation=True,`
	`1311`	`+return_tensors="pt",`
`1306`	`1312`	`)`
`1307`	`1313`	`returntokenized_example`
`1308`	`1314`
	`1315`	`+`
`1309`	`1316`	`classFineTuningConversation(FineTuningBase):`
`1310`	`1317`	`def__init__(`
`1311`	`1318`	`self,`
`@@ -1432,7 +1439,7 @@ def formatting_prompts_func(example):`
`1432`	`1439`	`callbacks=[PGMLCallback(self.project_id,self.model_id)],`
`1433`	`1440`	`)`
`1434`	`1441`	`print_info("Creating Supervised Fine Tuning trainer done. Training ... ")`
`1435`		`-`
	`1442`	`+`
`1436`	`1443`	`# Train`
`1437`	`1444`	`self.trainer.train()`
`1438`	`1445`

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`‎pgml-extension/src/bindings/transformers/transformers.py‎`

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