Hugging Face's logo

arif481
/
crosslingual-sentiment-model

Text Classification
Transformers
Safetensors
English
Bengali
xlm-roberta
sentiment-analysis
cross-lingual
text-embeddings-inference
Model card Files
xet
 Community
crosslingual-sentiment-model
File size: 2,222 Bytes
1eadb2c
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
{
  "best_global_step": 500,
  "best_metric": 1.0,
  "best_model_checkpoint": "experiments/combined/checkpoint-500",
  "epoch": 0.9652509652509652,
  "eval_steps": 500,
  "global_step": 500,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.19305019305019305,
      "grad_norm": 2.48384165763855,
      "learning_rate": 1.2692307692307693e-05,
      "loss": 0.4237,
      "step": 100
    },
    {
      "epoch": 0.3861003861003861,
      "grad_norm": 6.34004020690918,
      "learning_rate": 1.938483547925608e-05,
      "loss": 0.2115,
      "step": 200
    },
    {
      "epoch": 0.5791505791505791,
      "grad_norm": 0.6042028665542603,
      "learning_rate": 1.795422031473534e-05,
      "loss": 0.1104,
      "step": 300
    },
    {
      "epoch": 0.7722007722007722,
      "grad_norm": 0.008698650635778904,
      "learning_rate": 1.6523605150214594e-05,
      "loss": 0.0005,
      "step": 400
    },
    {
      "epoch": 0.9652509652509652,
      "grad_norm": 20.775955200195312,
      "learning_rate": 1.509298998569385e-05,
      "loss": 0.0041,
      "step": 500
    },
    {
      "epoch": 0.9652509652509652,
      "eval_accuracy": 1.0,
      "eval_f1": 1.0,
      "eval_loss": 4.6818098780931905e-05,
      "eval_precision": 1.0,
      "eval_recall": 1.0,
      "eval_runtime": 52.5745,
      "eval_samples_per_second": 8.749,
      "eval_steps_per_second": 0.285,
      "step": 500
    }
  ],
  "logging_steps": 100,
  "max_steps": 1554,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 3,
  "save_steps": 500,
  "stateful_callbacks": {
    "EarlyStoppingCallback": {
      "args": {
        "early_stopping_patience": 3,
        "early_stopping_threshold": 0.0
      },
      "attributes": {
        "early_stopping_patience_counter": 0
      }
    },
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": false
      },
      "attributes": {}
    }
  },
  "total_flos": 263111055360000.0,
  "train_batch_size": 8,
  "trial_name": null,
  "trial_params": null
}