initial commit

config.json

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+{
+  "_name_or_path": "/coc/scratch/sanisetty3/DLM/OFA-tiny-vqa=finetune",
+  "activation_dropout": 0.0,
+  "activation_function": "gelu",
+  "add_type_embedding": true,
+  "architectures": [
+    "OFAModelForVQA"
+  ],
+  "attention_dropout": 0.0,
+  "attn_scale_factor": 2.0,
+  "bos_token_id": 0,
+  "classifier_dropout": 0.0,
+  "code_image_size": 128,
+  "code_layernorm_embedding": true,
+  "d_model": 256,
+  "decoder_attention_heads": 4,
+  "decoder_drop_path_rate": 0.0,
+  "decoder_ffn_dim": 1024,
+  "decoder_layerdrop": 0.0,
+  "decoder_layers": 4,
+  "decoder_normalize_before": true,
+  "decoder_start_token_id": 0,
+  "dropout": 0.1,
+  "encoder_attention_heads": 4,
+  "encoder_drop_path_rate": 0.0,
+  "encoder_ffn_dim": 1024,
+  "encoder_layerdrop": 0.0,
+  "encoder_layers": 4,
+  "encoder_normalize_before": true,
+  "entangle_position_embedding": false,
+  "eos_token_id": 2,
+  "forced_eos_token_id": 2,
+  "image_bucket_size": 42,
+  "init_std": 0.02,
+  "is_encoder_decoder": true,
+  "layernorm_embedding": true,
+  "max_position_embeddings": 1024,
+  "model_type": "ofa",
+  "normformer": true,
+  "num_hidden_layers": 4,
+  "pad_token_id": 1,
+  "patch_layernorm_embedding": true,
+  "resnet_drop_path_rate": 0.0,
+  "resnet_model_path": null,
+  "resnet_type": "resnet50",
+  "scale_embedding": false,
+  "share_decoder_input_output_embed": true,
+  "token_bucket_size": 256,
+  "torch_dtype": "float32",
+  "transformers_version": "4.26.1",
+  "use_cache": false,
+  "vocab_size": 59457
+}

pytorch_model.bin

@@ -0,0 +1,3 @@
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