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lavokvv
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test_trainer

Text Classification
Transformers
PyTorch
TensorBoard
flaubert
Generated from Trainer
Model card Files
xet
Metrics Community
1
lavokvv commited on
Commit
48223ee
·
1 Parent(s): 7f8da8b

Training in progress, epoch 1

Browse files
Files changed (9) hide show
  1. config.json +7 -7
  2. pytorch_model.bin +2 -2
  3. runs/May15_16-33-14_00a28a6b8d46/1684168508.8759987/events.out.tfevents.1684168508.00a28a6b8d46.15988.5 +3 -0
  4. runs/May15_16-33-14_00a28a6b8d46/events.out.tfevents.1684168508.00a28a6b8d46.15988.4 +3 -0
  5. runs/May15_16-45-45_00a28a6b8d46/1684169201.8727658/events.out.tfevents.1684169201.00a28a6b8d46.15988.7 +3 -0
  6. runs/May15_16-45-45_00a28a6b8d46/events.out.tfevents.1684169201.00a28a6b8d46.15988.6 +3 -0
  7. runs/May15_16-49-34_00a28a6b8d46/1684169406.4611292/events.out.tfevents.1684169406.00a28a6b8d46.15988.9 +3 -0
  8. runs/May15_16-49-34_00a28a6b8d46/events.out.tfevents.1684169406.00a28a6b8d46.15988.8 +3 -0
  9. training_args.bin +1 -1
config.json CHANGED
@@ -1,5 +1,5 @@
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  {
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- "_name_or_path": "flaubert/flaubert_base_cased",
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  "amp": 1,
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  "architectures": [
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  "FlaubertForSequenceClassification"
@@ -12,7 +12,7 @@
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  "causal": false,
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  "clip_grad_norm": 5,
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  "dropout": 0.1,
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- "emb_dim": 768,
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  "embed_init_std": 0.02209708691207961,
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  "encoder_only": true,
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  "end_n_top": 5,
@@ -48,8 +48,8 @@
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  "langs": [
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  "fr"
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  ],
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- "layer_norm_eps": 1e-12,
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- "layerdrop": 0.0,
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  "lg_sampling_factor": -1,
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  "lgs": "fr",
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  "mask_index": 5,
@@ -64,12 +64,12 @@
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  ]
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  ],
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  "model_type": "flaubert",
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- "n_heads": 12,
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  "n_langs": 1,
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- "n_layers": 12,
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  "pad_index": 2,
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  "pad_token_id": 2,
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- "pre_norm": false,
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  "problem_type": "single_label_classification",
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  "sample_alpha": 0,
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  "share_inout_emb": true,
 
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  {
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+ "_name_or_path": "flaubert/flaubert_small_cased",
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  "amp": 1,
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  "architectures": [
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  "FlaubertForSequenceClassification"
 
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  "causal": false,
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  "clip_grad_norm": 5,
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  "dropout": 0.1,
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+ "emb_dim": 512,
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  "embed_init_std": 0.02209708691207961,
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  "encoder_only": true,
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  "end_n_top": 5,
 
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  "langs": [
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  "fr"
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+ "layer_norm_eps": 1e-06,
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+ "layerdrop": 0.2,
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  "lg_sampling_factor": -1,
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  "lgs": "fr",
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  "mask_index": 5,
 
64
  ]
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  ],
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  "model_type": "flaubert",
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+ "n_heads": 8,
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  "n_langs": 1,
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+ "n_layers": 6,
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  "pad_index": 2,
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  "pad_token_id": 2,
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+ "pre_norm": true,
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  "problem_type": "single_label_classification",
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  "sample_alpha": 0,
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  "share_inout_emb": true,
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