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| author | Gustaf Rydholm <gustaf.rydholm@gmail.com> | 2022-09-27 00:11:29 +0200 |
|---|---|---|
| committer | Gustaf Rydholm <gustaf.rydholm@gmail.com> | 2022-09-27 00:11:29 +0200 |
| commit | a4546512c9a8dec632c94e506e1603d460ff0635 (patch) | |
| tree | 1112daf28150ffe629878687424dd2211d3c2b85 /training/conf/experiment/conv_transformer_paragraphs.yaml | |
| parent | 91d0d49b9b0750f4b592d5fff6e440bb28f484dd (diff) | |
Update ex configs
Diffstat (limited to 'training/conf/experiment/conv_transformer_paragraphs.yaml')
| -rw-r--r-- | training/conf/experiment/conv_transformer_paragraphs.yaml | 16 |
1 files changed, 9 insertions, 7 deletions
diff --git a/training/conf/experiment/conv_transformer_paragraphs.yaml b/training/conf/experiment/conv_transformer_paragraphs.yaml index 60898da..60ff1bf 100644 --- a/training/conf/experiment/conv_transformer_paragraphs.yaml +++ b/training/conf/experiment/conv_transformer_paragraphs.yaml @@ -13,13 +13,12 @@ tags: [paragraphs] epochs: &epochs 600 num_classes: &num_classes 58 ignore_index: &ignore_index 3 -max_output_len: &max_output_len 682 +# max_output_len: &max_output_len 682 # summary: [[1, 1, 576, 640], [1, 682]] logger: wandb: tags: ${tags} - id: 8je5lxmx criterion: ignore_index: *ignore_index @@ -67,9 +66,9 @@ network: encoder: _target_: text_recognizer.networks.convnext.ConvNext dim: 16 - dim_mults: [2, 4, 8, 8] - depths: [3, 3, 6, 6] - downsampling_factors: [[2, 2], [2, 2], [2, 2], [2, 1]] + dim_mults: [1, 2, 4, 8, 8] + depths: [3, 3, 3, 3, 6] + downsampling_factors: [[2, 2], [2, 2], [2, 1], [2, 1], [2, 1]] attn: _target_: text_recognizer.networks.convnext.TransformerBlock attn: @@ -118,7 +117,7 @@ network: _target_: "text_recognizer.networks.transformer.embeddings.axial.\ AxialPositionalEmbeddingImage" dim: *hidden_dim - axial_shape: [36, 80] + axial_shape: [18, 160] axial_dims: [64, 64] token_pos_embedding: _target_: "text_recognizer.networks.transformer.embeddings.fourier.\ @@ -130,4 +129,7 @@ network: trainer: gradient_clip_val: 1.0 max_epochs: *epochs - accumulate_grad_batches: 6 + accumulate_grad_batches: 8 + limit_train_batches: 1.0 + limit_val_batches: 1.0 + limit_test_batches: 1.0 |