conflict

Author: itsmystyle

models/hn_100/log.json

@@ -0,0 +1,146 @@
+{
+ "valid": [
+ {
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+ "Accuracy": 0.0,
+ "loss": 3.7904573033723845
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+ {
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+ ],
+ "train": [
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+ },
+ {
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+ "Accuracy": 0.00013062162832921874,
+ "loss": 1.3740503358360638
+ }
+ ]
+}

models/hn_150/config.json

@@ -6,7 +6,7 @@
  "encoder_model_name": "EncoderRNN",
  "decoder_model_name": "DecoderRNN",
  "hidden_size": 150,
- "batch_size": 32,
+ "batch_size": 64,
  "max_epochs": 200,
  "max_iters_in_epoch": 1e20,
  "grad_accumulate_steps": 1,

models/hn_150/log.json

@@ -0,0 +1,56 @@
+{
+ "valid": [
+ {
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+ "loss": 3.725657689232626,
+ "epoch": 0
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+ {
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+ "epoch": 1
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+ {
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+ "epoch": 2
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+ "epoch": 3
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+ "loss": 2.5187728482428358,
+ "epoch": 4
+ }
+ ],
+ "train": [
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+ "Accuracy": 0.0,
+ "loss": 3.4852821147788613,
+ "epoch": 0
+ },
+ {
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+ {
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+ "epoch": 4
+ }
+ ]
+}

src/__pycache__/base_predictor.cpython-35.pyc

@@ -95,4 +95,4 @@ def _run_iter(self, batch, training):
  return acc, loss/seq_len
 
  def _predict_batch(self, batch):
- pass
+ pass