more configs

configs/qa_short_ctx.yaml

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+output_dir: "" # just a placeholder
+bf16: true
+model_name_or_path: google/gemma-3-1b-it
+label_names: ["labels"]
+# eval_on_start: True
+# eval_strategy: "steps"
+# eval_steps: 500
+# save_strategy: "no"
+# # save_steps: 500
+# logging_strategy: "steps"
+# logging_steps: 100
+# use_liger_kernel: true
+# remove_unused_columns: false
+
+# needed to avoid OOM by compute the metrics batch by batch
+# w/o this the trainer stores logits of all sample in memory...
+# batch_eval_metrics: true
+
+per_device_train_batch_size: 8
+per_device_eval_batch_size: 8
+max_val_samples_per_ds: 1000
+# optim: schedule_free_adamw
+
+learning_rate: 0.00004
+# lr_scheduler_type: "constant_with_warmup"
+neftune_noise_alpha: 1
+weight_decay: 0.01
+
+warmup_steps: 100
+
+dataloader_prefetch_factor: 16
+dataloader_num_workers: 8
+
+# LoRA
+lora_r: 8
+lora_dropout: 0.0
+target_modules:
+  - down_proj
+
+# short ctx data
+train_ds_names:
+  - fw_qa_v2_2k_len_level_3
+  - squad_compact
+  - pwc_compact
+  - drop_compact
+  - ropes_compact
+
+# the contexts are kinda long-ish
+# - narrativeqa
+# - quoref
+# - synthetic_convqa 
+
+val_ds_names:
+  - fw_qa_v2_2k_len_level_0
+  - squad
+  - drop
+  - ropes
+  - pwc
+

configs/qa_short_ctx_self_gen.yaml

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+output_dir: "" # just a placeholder
+bf16: true
+model_name_or_path: google/gemma-3-1b-it
+label_names: ["labels"]
+# eval_on_start: True
+# eval_strategy: "steps"
+# eval_steps: 500
+# save_strategy: "no"
+# # save_steps: 500
+# logging_strategy: "steps"
+# logging_steps: 100
+# use_liger_kernel: true
+# remove_unused_columns: false
+
+# needed to avoid OOM by compute the metrics batch by batch
+# w/o this the trainer stores logits of all sample in memory...
+# batch_eval_metrics: true
+
+per_device_train_batch_size: 8
+per_device_eval_batch_size: 8
+max_val_samples_per_ds: 1000
+# optim: schedule_free_adamw
+
+learning_rate: 0.00004
+# lr_scheduler_type: "constant_with_warmup"
+neftune_noise_alpha: 1
+weight_decay: 0.01
+
+warmup_steps: 100
+
+dataloader_prefetch_factor: 16
+dataloader_num_workers: 8
+
+# LoRA
+lora_r: 8
+lora_dropout: 0.0
+target_modules:
+  - down_proj
+
+# data
+train_ds_names:
+  - self_gen/gemma-2-2b-it/fw_qa_v2_2k_len_level_3
+  - self_gen/gemma-2-2b-it/squad_compact
+  - self_gen/gemma-2-2b-it/pwc_compact
+  - self_gen/gemma-2-2b-it/ropes_compact
+  - self_gen/gemma-2-2b-it/drop_compact
+
+val_ds_names:
+  - squad
+  - pwc
+  - drop
+  - ropes