Upload 14 files

adding the checkpoint of QUIP-MOCHA model

all_results.json

@@ -0,0 +1,14 @@
+{
+    "epoch": 3.0,
+    "eval_loss": 0.5030496716499329,
+    "eval_mse": 0.5030496716499329,
+    "eval_runtime": 32.9075,
+    "eval_samples": 4009,
+    "eval_samples_per_second": 121.826,
+    "eval_steps_per_second": 15.255,
+    "train_loss": 0.7615933273777817,
+    "train_runtime": 2470.73,
+    "train_samples": 31069,
+    "train_samples_per_second": 37.724,
+    "train_steps_per_second": 0.294
+}

config.json

@@ -0,0 +1,35 @@
+{
+  "_name_or_path": "./quip-hf",
+  "architectures": [
+    "RobertaForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 1024,
+  "id2label": {
+    "0": "LABEL_0"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "label2id": {
+    "LABEL_0": 0
+  },
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "roberta",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 24,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "regression",
+  "torch_dtype": "float32",
+  "transformers_version": "4.11.0.dev0",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50265
+}

eval_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 3.0,
+    "eval_loss": 0.5030496716499329,
+    "eval_mse": 0.5030496716499329,
+    "eval_runtime": 32.9075,
+    "eval_samples": 4009,
+    "eval_samples_per_second": 121.826,
+    "eval_steps_per_second": 15.255
+}

predict_results_None.txt

@@ -0,0 +1,6322 @@
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+6302	1.420
+6303	3.891
+6304	3.504
+6305	4.594
+6306	1.507
+6307	3.727
+6308	1.180
+6309	4.615
+6310	3.579
+6311	4.303
+6312	1.046
+6313	1.351
+6314	3.942
+6315	5.056
+6316	5.086
+6317	4.571
+6318	1.081
+6319	1.035
+6320	2.898

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:e914a879e20ff11fd9cb4eba2f2a12b44555b792bcf21f49292eeecd66bc45d0
+size 1421607213

special_tokens_map.json

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+{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "</s>", "pad_token": "<pad>", "cls_token": "<s>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": false}}

test_quip.py

@@ -0,0 +1,30 @@
+from transformers import AutoConfig, AutoModelForSequenceClassification, AutoTokenizer
+
+device = "cuda"
+predictor = AutoModelForSequenceClassification.from_pretrained("/home/afabbri/evaluation/qafacteval/models/quip-512-mocha").to(device)
+predictor.eval()
+
+tokenizer = AutoTokenizer.from_pretrained("/home/afabbri/evaluation/qafacteval/models/quip-512-mocha")
+batch_size = 32
+
+
+context = "The Yankees beat the Braves in the World Series."
+
+
+questions = ["Who won the World Series?", "Who beat the Braves?"]
+answers = ["The Yankees", "The Yankees"]
+predictions = ["The Yankees", "The Yankees"]
+
+batch_sentences = []
+for question, answer, prediction in zip(questions, answers, predictions):
+    sentence1 = f"{question} <q> {answer} <r> {prediction} <c> {context}"
+    batch_sentences.append(sentence1)
+
+inputs = tokenizer(batch_sentences, max_length=512,  truncation=True, padding="max_length", return_tensors="pt")
+import pdb;pdb.set_trace()
+outputs = predictor(input_ids=inputs["input_ids"].to(device), attention_mask=inputs["attention_mask"].to(device))
+outputs = [x[0] for x in outputs[0].cpu().tolist()]
+import pdb;pdb.set_trace()
+print("HI")
+
+

tokenizer_config.json

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+{"unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>", "add_prefix_space": false, "errors": "replace", "sep_token": "</s>", "cls_token": "<s>", "pad_token": "<pad>", "mask_token": "<mask>", "special_tokens_map_file": null, "name_or_path": "./quip-hf", "tokenizer_class": "RobertaTokenizer"}

train_results.json

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+{
+    "epoch": 3.0,
+    "train_loss": 0.7615933273777817,
+    "train_runtime": 2470.73,
+    "train_samples": 31069,
+    "train_samples_per_second": 37.724,
+    "train_steps_per_second": 0.294
+}

trainer_state.json

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+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 2.996910401647786,
+  "global_step": 726,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 2.07,
+      "learning_rate": 6.225895316804408e-06,
+      "loss": 0.9191,
+      "step": 500
+    },
+    {
+      "epoch": 3.0,
+      "step": 726,
+      "total_flos": 8.67755637675602e+16,
+      "train_loss": 0.7615933273777817,
+      "train_runtime": 2470.73,
+      "train_samples_per_second": 37.724,
+      "train_steps_per_second": 0.294
+    }
+  ],
+  "max_steps": 726,
+  "num_train_epochs": 3,
+  "total_flos": 8.67755637675602e+16,
+  "trial_name": null,
+  "trial_params": null
+}

training_args.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:80bcc069cabc6b6d181e812bf74e344248153f08f20ea9b6b1c0b390acf1b24b
+size 2671