| # Layer dimensions | |
| mlp_input: 1024 | |
| mlp_tag_hidden: 16 | |
| mlp_arc_hidden: 512 | |
| mlp_lab_hidden: 128 | |
| # Lexers | |
| lexers: | |
| - name: word_embeddings | |
| type: words | |
| embedding_size: 256 | |
| word_dropout: 0.5 | |
| - name: char_level_embeddings | |
| type: chars_rnn | |
| embedding_size: 64 | |
| lstm_output_size: 128 | |
| - name: fasttext | |
| type: fasttext | |
| - name: camembertav2_base_p2_17k_last_layer | |
| type: bert | |
| model: /scratch/camembertv2/runs/models/camembertav2-base-bf16/post/ckpt-p2-17000/pt/discriminator/ | |
| layers: [11] | |
| subwords_reduction: "mean" | |
| # Training hyperparameters | |
| encoder_dropout: 0.5 | |
| mlp_dropout: 0.5 | |
| batch_size: 8 | |
| epochs: 64 | |
| lr: | |
| base: 0.00003 | |
| schedule: | |
| shape: linear | |
| warmup_steps: 100 | |