shpotes commited on
Commit
237918a
1 Parent(s): 98c1ffc

add trained model

Browse files
model/config.json ADDED
@@ -0,0 +1,152 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "MedCLIP"
4
+ ],
5
+ "initializer_factor": 1.0,
6
+ "model_type": "hybrid-clip",
7
+ "projection_dim": 512,
8
+ "seed": 42,
9
+ "text_config": {
10
+ "_name_or_path": "",
11
+ "add_cross_attention": false,
12
+ "architectures": null,
13
+ "attention_probs_dropout_prob": 0.1,
14
+ "bad_words_ids": null,
15
+ "bos_token_id": null,
16
+ "chunk_size_feed_forward": 0,
17
+ "decoder_start_token_id": null,
18
+ "diversity_penalty": 0.0,
19
+ "do_sample": false,
20
+ "early_stopping": false,
21
+ "encoder_no_repeat_ngram_size": 0,
22
+ "eos_token_id": null,
23
+ "finetuning_task": null,
24
+ "forced_bos_token_id": null,
25
+ "forced_eos_token_id": null,
26
+ "gradient_checkpointing": false,
27
+ "hidden_act": "gelu",
28
+ "hidden_dropout_prob": 0.1,
29
+ "hidden_size": 768,
30
+ "id2label": {
31
+ "0": "LABEL_0",
32
+ "1": "LABEL_1"
33
+ },
34
+ "initializer_range": 0.02,
35
+ "intermediate_size": 3072,
36
+ "is_decoder": false,
37
+ "is_encoder_decoder": false,
38
+ "label2id": {
39
+ "LABEL_0": 0,
40
+ "LABEL_1": 1
41
+ },
42
+ "layer_norm_eps": 1e-12,
43
+ "length_penalty": 1.0,
44
+ "max_length": 20,
45
+ "max_position_embeddings": 512,
46
+ "min_length": 0,
47
+ "model_type": "bert",
48
+ "no_repeat_ngram_size": 0,
49
+ "num_attention_heads": 12,
50
+ "num_beam_groups": 1,
51
+ "num_beams": 1,
52
+ "num_hidden_layers": 12,
53
+ "num_return_sequences": 1,
54
+ "output_attentions": false,
55
+ "output_hidden_states": false,
56
+ "output_scores": false,
57
+ "pad_token_id": 0,
58
+ "position_embedding_type": "absolute",
59
+ "prefix": null,
60
+ "problem_type": null,
61
+ "pruned_heads": {},
62
+ "remove_invalid_values": false,
63
+ "repetition_penalty": 1.0,
64
+ "return_dict": true,
65
+ "return_dict_in_generate": false,
66
+ "sep_token_id": null,
67
+ "task_specific_params": null,
68
+ "temperature": 1.0,
69
+ "tie_encoder_decoder": false,
70
+ "tie_word_embeddings": true,
71
+ "tokenizer_class": null,
72
+ "top_k": 50,
73
+ "top_p": 1.0,
74
+ "torchscript": false,
75
+ "transformers_version": "4.8.2",
76
+ "type_vocab_size": 2,
77
+ "use_bfloat16": false,
78
+ "use_cache": true,
79
+ "vocab_size": 31090
80
+ },
81
+ "transformers_version": null,
82
+ "vision_config": {
83
+ "_name_or_path": "",
84
+ "add_cross_attention": false,
85
+ "architectures": null,
86
+ "attention_dropout": 0.0,
87
+ "bad_words_ids": null,
88
+ "bos_token_id": null,
89
+ "chunk_size_feed_forward": 0,
90
+ "decoder_start_token_id": null,
91
+ "diversity_penalty": 0.0,
92
+ "do_sample": false,
93
+ "dropout": 0.0,
94
+ "early_stopping": false,
95
+ "encoder_no_repeat_ngram_size": 0,
96
+ "eos_token_id": null,
97
+ "finetuning_task": null,
98
+ "forced_bos_token_id": null,
99
+ "forced_eos_token_id": null,
100
+ "gradient_checkpointing": false,
101
+ "hidden_act": "quick_gelu",
102
+ "hidden_size": 768,
103
+ "id2label": {
104
+ "0": "LABEL_0",
105
+ "1": "LABEL_1"
106
+ },
107
+ "image_size": 224,
108
+ "initializer_factor": 1.0,
109
+ "initializer_range": 0.02,
110
+ "intermediate_size": 3072,
111
+ "is_decoder": false,
112
+ "is_encoder_decoder": false,
113
+ "label2id": {
114
+ "LABEL_0": 0,
115
+ "LABEL_1": 1
116
+ },
117
+ "layer_norm_eps": 1e-05,
118
+ "length_penalty": 1.0,
119
+ "max_length": 20,
120
+ "min_length": 0,
121
+ "model_type": "clip_vision_model",
122
+ "no_repeat_ngram_size": 0,
123
+ "num_attention_heads": 12,
124
+ "num_beam_groups": 1,
125
+ "num_beams": 1,
126
+ "num_hidden_layers": 12,
127
+ "num_return_sequences": 1,
128
+ "output_attentions": false,
129
+ "output_hidden_states": false,
130
+ "output_scores": false,
131
+ "pad_token_id": null,
132
+ "patch_size": 32,
133
+ "prefix": null,
134
+ "problem_type": null,
135
+ "pruned_heads": {},
136
+ "remove_invalid_values": false,
137
+ "repetition_penalty": 1.0,
138
+ "return_dict": true,
139
+ "return_dict_in_generate": false,
140
+ "sep_token_id": null,
141
+ "task_specific_params": null,
142
+ "temperature": 1.0,
143
+ "tie_encoder_decoder": false,
144
+ "tie_word_embeddings": true,
145
+ "tokenizer_class": null,
146
+ "top_k": 50,
147
+ "top_p": 1.0,
148
+ "torchscript": false,
149
+ "transformers_version": "4.8.2",
150
+ "use_bfloat16": false
151
+ }
152
+ }
model/flax_model.msgpack ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:68b52339f7fa55829d502cf70bf3e445634a1f94ce86b9770e70c6e451f4d0b4
3
+ size 792657752
model/logs/events.out.tfevents.1626406050.t1v-n-f700bfbb-w-0.233317.3.v2 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fba1b0d22399209ed281ae9e176f5c05c7f844134c9802dd29b93e47cd315e2f
3
+ size 396714
model/logs/events.out.tfevents.1626408834.t1v-n-f700bfbb-w-0.261335.3.v2 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a022b3284b4ace7f067a9c6e0f98431ff61cc2b425e0dfb20ac8d78bd0210e89
3
+ size 40
model/logs/events.out.tfevents.1626409141.t1v-n-f700bfbb-w-0.268430.3.v2 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:72585e9ff1d5bc5b9b3b87079673e98172dbe1276652e75fdc1588e39bd036c0
3
+ size 39400
model/logs/events.out.tfevents.1626409572.t1v-n-f700bfbb-w-0.282371.3.v2 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f8ca278fd54e647dd9696c6eee20cf5c1fe6c8208593560c7d70937e5da88de3
3
+ size 321490
train_model.sh CHANGED
@@ -1,5 +1,5 @@
1
  python run_medclip.py \
2
- --output_dir "flax-community/medclip" \
3
  --overwrite_output_dir \
4
  --text_model_name_or_path="allenai/scibert_scivocab_uncased" \
5
  --vision_model_name_or_path="openai/clip-vit-base-patch32" \
@@ -10,9 +10,9 @@ python run_medclip.py \
10
  --mimic_mode="docs" \
11
  --roco_data_dir="/home/shpotes/medclip/data/roco-dataset/" \
12
  --do_train --do_eval \
13
- --num_train_epochs="20" \
14
  --preprocessing_num_workers=32 \
15
  --per_device_train_batch_size=64 \
16
  --per_device_eval_batch_size=64 \
17
- --warmup_steps=3000 \
18
- --learning_rate="3e-4"
 
1
  python run_medclip.py \
2
+ --output_dir "model" \
3
  --overwrite_output_dir \
4
  --text_model_name_or_path="allenai/scibert_scivocab_uncased" \
5
  --vision_model_name_or_path="openai/clip-vit-base-patch32" \
 
10
  --mimic_mode="docs" \
11
  --roco_data_dir="/home/shpotes/medclip/data/roco-dataset/" \
12
  --do_train --do_eval \
13
+ --num_train_epochs="18" \
14
  --preprocessing_num_workers=32 \
15
  --per_device_train_batch_size=64 \
16
  --per_device_eval_batch_size=64 \
17
+ --warmup_steps=5000 \
18
+ --learning_rate="3e-4"