Hugging Face's logo

funnyPhani
/
idefics-9b-mimic-chest-xrays

Transformers
Safetensors
Inference Endpoints
Model card Files Community
idefics-9b-mimic-chest-xrays
File size: 4,480 Bytes 
69161bd
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
 
{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 0.008967001434720229,
  "eval_steps": 5,
  "global_step": 50,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.000896700143472023,
      "grad_norm": 1.124503254890442,
      "learning_rate": 0.00018,
      "loss": 2.3789,
      "step": 5
    },
    {
      "epoch": 0.000896700143472023,
      "eval_loss": 1.9937291145324707,
      "eval_runtime": 65.4243,
      "eval_samples_per_second": 2.736,
      "eval_steps_per_second": 1.376,
      "step": 5
    },
    {
      "epoch": 0.001793400286944046,
      "grad_norm": 0.8716641664505005,
      "learning_rate": 0.00016,
      "loss": 1.7336,
      "step": 10
    },
    {
      "epoch": 0.001793400286944046,
      "eval_loss": 1.590023398399353,
      "eval_runtime": 63.9353,
      "eval_samples_per_second": 2.8,
      "eval_steps_per_second": 1.408,
      "step": 10
    },
    {
      "epoch": 0.002690100430416069,
      "grad_norm": 0.5799658298492432,
      "learning_rate": 0.00014,
      "loss": 1.6249,
      "step": 15
    },
    {
      "epoch": 0.002690100430416069,
      "eval_loss": 1.4548176527023315,
      "eval_runtime": 63.7041,
      "eval_samples_per_second": 2.81,
      "eval_steps_per_second": 1.413,
      "step": 15
    },
    {
      "epoch": 0.003586800573888092,
      "grad_norm": 0.6462221145629883,
      "learning_rate": 0.00012,
      "loss": 1.3909,
      "step": 20
    },
    {
      "epoch": 0.003586800573888092,
      "eval_loss": 1.3800599575042725,
      "eval_runtime": 64.2415,
      "eval_samples_per_second": 2.786,
      "eval_steps_per_second": 1.401,
      "step": 20
    },
    {
      "epoch": 0.0044835007173601145,
      "grad_norm": 0.5445486903190613,
      "learning_rate": 0.0001,
      "loss": 1.3388,
      "step": 25
    },
    {
      "epoch": 0.0044835007173601145,
      "eval_loss": 1.3405883312225342,
      "eval_runtime": 63.9014,
      "eval_samples_per_second": 2.801,
      "eval_steps_per_second": 1.408,
      "step": 25
    },
    {
      "epoch": 0.005380200860832138,
      "grad_norm": 0.5416566133499146,
      "learning_rate": 8e-05,
      "loss": 1.2852,
      "step": 30
    },
    {
      "epoch": 0.005380200860832138,
      "eval_loss": 1.3104169368743896,
      "eval_runtime": 64.3636,
      "eval_samples_per_second": 2.781,
      "eval_steps_per_second": 1.398,
      "step": 30
    },
    {
      "epoch": 0.006276901004304161,
      "grad_norm": 0.5696709752082825,
      "learning_rate": 6e-05,
      "loss": 1.2838,
      "step": 35
    },
    {
      "epoch": 0.006276901004304161,
      "eval_loss": 1.289123773574829,
      "eval_runtime": 63.7213,
      "eval_samples_per_second": 2.809,
      "eval_steps_per_second": 1.412,
      "step": 35
    },
    {
      "epoch": 0.007173601147776184,
      "grad_norm": 0.5097543597221375,
      "learning_rate": 4e-05,
      "loss": 1.2537,
      "step": 40
    },
    {
      "epoch": 0.007173601147776184,
      "eval_loss": 1.2738059759140015,
      "eval_runtime": 64.6891,
      "eval_samples_per_second": 2.767,
      "eval_steps_per_second": 1.391,
      "step": 40
    },
    {
      "epoch": 0.008070301291248206,
      "grad_norm": 0.5577636957168579,
      "learning_rate": 2e-05,
      "loss": 1.2054,
      "step": 45
    },
    {
      "epoch": 0.008070301291248206,
      "eval_loss": 1.2649672031402588,
      "eval_runtime": 64.54,
      "eval_samples_per_second": 2.773,
      "eval_steps_per_second": 1.394,
      "step": 45
    },
    {
      "epoch": 0.008967001434720229,
      "grad_norm": 0.483451247215271,
      "learning_rate": 0.0,
      "loss": 1.2729,
      "step": 50
    },
    {
      "epoch": 0.008967001434720229,
      "eval_loss": 1.2614667415618896,
      "eval_runtime": 64.4176,
      "eval_samples_per_second": 2.779,
      "eval_steps_per_second": 1.397,
      "step": 50
    }
  ],
  "logging_steps": 5,
  "max_steps": 50,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 1,
  "save_steps": 25,
  "stateful_callbacks": {
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": true
      },
      "attributes": {}
    }
  },
  "total_flos": 6694253847865152.0,
  "train_batch_size": 2,
  "trial_name": null,
  "trial_params": null
}