Model save
Browse files- .ipynb_checkpoints/test_results-checkpoint.json +5 -0
- .ipynb_checkpoints/trainer_state-checkpoint.json +0 -0
- .ipynb_checkpoints/val_results-checkpoint.json +5 -0
- README.md +3 -3
- all_results.json +1 -1
- test_results.json +1 -1
- trainer_state.json +20 -0
- val_results.json +1 -1
.ipynb_checkpoints/test_results-checkpoint.json
ADDED
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{
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"eval_accuracy": 0.8777292576419214,
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"eval_f1": 0.8759548256004502,
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"eval_loss": 0.9210804104804993
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}
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.ipynb_checkpoints/trainer_state-checkpoint.json
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.ipynb_checkpoints/val_results-checkpoint.json
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{
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"eval_accuracy": 0.9180327868852459,
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"eval_f1": 0.9178693897416935,
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"eval_loss": 0.5277689099311829
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}
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README.md
CHANGED
@@ -18,9 +18,9 @@ It achieves the following results on the evaluation set:
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- eval_loss: 0.5278
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- eval_accuracy: 0.9180
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- eval_f1: 0.9179
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- eval_runtime:
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- eval_samples_per_second: 1.
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- eval_steps_per_second: 0.
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- epoch: 5.0024
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- step: 8857
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- eval_loss: 0.5278
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- eval_accuracy: 0.9180
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- eval_f1: 0.9179
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- eval_runtime: 73.3325
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- eval_samples_per_second: 1.664
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- eval_steps_per_second: 0.218
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- epoch: 5.0024
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- step: 8857
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all_results.json
CHANGED
@@ -1,5 +1,5 @@
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{
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"eval_accuracy": 0.9180327868852459,
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"eval_f1": 0.9178693897416935,
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-
"eval_loss": 0.
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}
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{
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"eval_accuracy": 0.9180327868852459,
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"eval_f1": 0.9178693897416935,
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"eval_loss": 0.5277688503265381
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}
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test_results.json
CHANGED
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{
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"eval_accuracy": 0.8777292576419214,
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"eval_f1": 0.8759548256004502,
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"eval_loss": 0.
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}
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{
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"eval_accuracy": 0.8777292576419214,
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"eval_f1": 0.8759548256004502,
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"eval_loss": 0.9210802912712097
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}
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trainer_state.json
CHANGED
@@ -7172,6 +7172,26 @@
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"eval_samples_per_second": 1.694,
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"eval_steps_per_second": 0.222,
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"step": 8857
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}
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],
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"logging_steps": 10,
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"eval_samples_per_second": 1.694,
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"eval_steps_per_second": 0.222,
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"step": 8857
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},
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{
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"epoch": 5.002391304347826,
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"eval_accuracy": 0.8777292576419214,
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"eval_f1": 0.8759548256004502,
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"eval_loss": 0.9210802912712097,
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"eval_runtime": 134.9933,
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"eval_samples_per_second": 1.696,
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"eval_steps_per_second": 0.215,
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"step": 8857
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},
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{
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"epoch": 5.002391304347826,
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"eval_accuracy": 0.9180327868852459,
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"eval_f1": 0.9178693897416935,
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"eval_loss": 0.5277688503265381,
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"eval_runtime": 73.3325,
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"eval_samples_per_second": 1.664,
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"eval_steps_per_second": 0.218,
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"step": 8857
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}
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],
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"logging_steps": 10,
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val_results.json
CHANGED
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{
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"eval_accuracy": 0.9180327868852459,
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"eval_f1": 0.9178693897416935,
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-
"eval_loss": 0.
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}
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{
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"eval_accuracy": 0.9180327868852459,
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"eval_f1": 0.9178693897416935,
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"eval_loss": 0.5277688503265381
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}
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