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checkpoints/knowledge/atomic_full_sft_50ep_t20260305/README.md

@@ -1,225 +0,0 @@
----
-library_name: transformers
-tags:
-- generated_from_trainer
-datasets:
-- /home/jiaruil5/math_rl/mix_teachers/r3lit_rl/mix_teachers/data/knowledge/atomic_sft/train_messages.jsonl
-model-index:
-- name: home/jiaruil5/math_rl/mix_teachers/r3lit_rl/mix_teachers/checkpoints/knowledge/atomic_full_sft_50ep_t20260305
-  results: []
----
-
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
-
-[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
-<details><summary>See axolotl config</summary>
-
-axolotl version: `0.15.0.dev0`
-```yaml
-base_model: /home/jiaruil5/math_rl/mix_teachers/r3lit_rl/models/Qwen/Qwen3-4B-Instruct-2507
-load_in_8bit: false
-load_in_4bit: false
-strict: false
-
-datasets:
-  - path: /home/jiaruil5/math_rl/mix_teachers/r3lit_rl/mix_teachers/data/knowledge/atomic_sft/train_messages.jsonl
-    type: chat_template
-dataset_prepared_path:
-val_set_size: 0
-chat_template: chatml
-
-test_datasets:
-  - path: /home/jiaruil5/math_rl/mix_teachers/r3lit_rl/mix_teachers/data/knowledge/atomic_sft/val_paraphrased_messages.jsonl
-    type: chat_template
-
-output_dir: /home/jiaruil5/math_rl/mix_teachers/r3lit_rl/mix_teachers/checkpoints/knowledge/atomic_full_sft_50ep_t20260305
-
-sequence_len: 512
-sample_packing: true
-eval_sample_packing: true
-
-gradient_accumulation_steps: 8
-micro_batch_size: 1
-num_epochs: 50
-optimizer: adamw_torch_fused
-lr_scheduler: constant_with_warmup
-learning_rate: 1e-4
-
-bf16: auto
-tf32: true
-
-gradient_checkpointing: true
-gradient_checkpointing_kwargs:
-  use_reentrant: false
-
-logging_steps: 10
-flash_attention: true
-warmup_ratio: 0.02
-evals_per_epoch: 2
-saves_per_epoch: 1
-save_total_limit: 3
-load_best_model_at_end: true
-weight_decay: 0.01
-
-wandb_project: knowledge_sft
-wandb_name: full-sft-atomic-t20260305
-wandb_log_model: "false"
-
-special_tokens:
-
-```
-
-</details><br>
-
-# home/jiaruil5/math_rl/mix_teachers/r3lit_rl/mix_teachers/checkpoints/knowledge/atomic_full_sft_50ep_t20260305
-
-This model was trained from scratch on the /home/jiaruil5/math_rl/mix_teachers/r3lit_rl/mix_teachers/data/knowledge/atomic_sft/train_messages.jsonl dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.0003
-- Ppl: 1.0003
-- Memory/max Active (gib): 23.32
-- Memory/max Allocated (gib): 23.32
-- Memory/device Reserved (gib): 33.31
-
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
-
-### Training hyperparameters
-
-The following hyperparameters were used during training:
-- learning_rate: 0.0001
-- train_batch_size: 1
-- eval_batch_size: 1
-- seed: 42
-- gradient_accumulation_steps: 8
-- total_train_batch_size: 8
-- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
-- lr_scheduler_type: constant_with_warmup
-- lr_scheduler_warmup_steps: 26
-- training_steps: 1300
-
-### Training results
-
-| Training Loss | Epoch   | Step | Validation Loss | Ppl        | Active (gib) | Allocated (gib) | Reserved (gib) |
-|:-------------:|:-------:|:----:|:---------------:|:----------:|:------------:|:---------------:|:--------------:|
-| No log        | 0       | 0    | 11.0500         | 62945.1072 | 8.23         | 8.23            | 8.94           |
-| 7.0494        | 0.4837  | 13   | 2.1581          | 8.6548     | 32.3         | 32.3            | 33.17          |
-| 2.0677        | 0.9674  | 26   | 1.0282          | 2.7959     | 32.29        | 32.29           | 33.31          |
-| 1.1577        | 1.4465  | 39   | 0.9829          | 2.6721     | 32.3         | 32.3            | 33.1           |
-| 0.9896        | 1.9302  | 52   | 0.8636          | 2.3716     | 32.29        | 32.29           | 33.31          |
-| 0.9107        | 2.4093  | 65   | 0.8443          | 2.3263     | 32.3         | 32.3            | 33.1           |
-| 0.8932        | 2.8930  | 78   | 0.8110          | 2.2501     | 32.29        | 32.29           | 33.31          |
-| 0.8151        | 3.3721  | 91   | 0.7195          | 2.0535     | 32.3         | 32.3            | 33.1           |
-| 0.8194        | 3.8558  | 104  | 0.6576          | 1.9302     | 32.29        | 32.29           | 33.22          |
-| 0.7820        | 4.3349  | 117  | 0.4008          | 1.493      | 32.3         | 32.3            | 33.1           |
-| 0.5420        | 4.8186  | 130  | 0.2968          | 1.3455     | 23.32        | 23.32           | 33.31          |
-| 0.3731        | 5.2977  | 143  | 0.1417          | 1.1522     | 32.3         | 32.3            | 33.1           |
-| 0.2062        | 5.7814  | 156  | 0.1033          | 1.1088     | 32.29        | 32.29           | 33.31          |
-| 0.2244        | 6.2605  | 169  | 0.1132          | 1.1199     | 32.3         | 32.3            | 33.1           |
-| 0.0950        | 6.7442  | 182  | 0.0687          | 1.0712     | 32.29        | 32.29           | 33.31          |
-| 0.1163        | 7.2233  | 195  | 0.0726          | 1.0753     | 32.3         | 32.3            | 33.1           |
-| 0.4996        | 7.7070  | 208  | 0.0478          | 1.0490     | 32.29        | 32.29           | 32.61          |
-| 0.0645        | 8.1860  | 221  | 0.0634          | 1.0654     | 32.3         | 32.3            | 33.1           |
-| 0.0649        | 8.6698  | 234  | 0.0273          | 1.0277     | 32.29        | 32.29           | 33.31          |
-| 0.0527        | 9.1488  | 247  | 0.0318          | 1.0323     | 32.31        | 32.31           | 33.1           |
-| 0.0456        | 9.6326  | 260  | 0.0321          | 1.0326     | 23.32        | 23.32           | 33.31          |
-| 0.0524        | 10.1116 | 273  | 0.0303          | 1.0308     | 32.3         | 32.3            | 33.1           |
-| 0.0315        | 10.5953 | 286  | 0.0437          | 1.0446     | 32.29        | 32.29           | 33.31          |
-| 0.0593        | 11.0744 | 299  | 0.0299          | 1.0303     | 32.3         | 32.3            | 33.1           |
-| 0.0585        | 11.5581 | 312  | 0.0368          | 1.0375     | 32.29        | 32.29           | 33.31          |
-| 0.0626        | 12.0372 | 325  | 0.0168          | 1.0170     | 32.3         | 32.3            | 33.1           |
-| 0.0275        | 12.5209 | 338  | 0.0124          | 1.0125     | 32.29        | 32.29           | 33.31          |
-| 0.0289        | 13.0    | 351  | 0.0166          | 1.0168     | 32.3         | 32.3            | 33.1           |
-| 0.0308        | 13.4837 | 364  | 0.0192          | 1.0194     | 32.29        | 32.29           | 33.31          |
-| 0.0263        | 13.9674 | 377  | 0.0074          | 1.0074     | 32.3         | 32.3            | 33.1           |
-| 0.0142        | 14.4465 | 390  | 0.0347          | 1.0353     | 23.32        | 23.32           | 33.31          |
-| 0.0266        | 14.9302 | 403  | 0.0114          | 1.0115     | 32.3         | 32.3            | 33.1           |
-| 0.0200        | 15.4093 | 416  | 0.0311          | 1.0315     | 32.29        | 32.29           | 33.31          |
-| 0.0198        | 15.8930 | 429  | 0.0414          | 1.0422     | 32.3         | 32.3            | 33.1           |
-| 0.0225        | 16.3721 | 442  | 0.0454          | 1.0465     | 32.29        | 32.29           | 33.31          |
-| 0.0309        | 16.8558 | 455  | 0.0268          | 1.0272     | 32.3         | 32.3            | 33.1           |
-| 0.0411        | 17.3349 | 468  | 0.0395          | 1.0403     | 32.29        | 32.29           | 33.31          |
-| 0.0275        | 17.8186 | 481  | 0.0716          | 1.0742     | 32.3         | 32.3            | 33.1           |
-| 0.0260        | 18.2977 | 494  | 0.0112          | 1.0113     | 32.29        | 32.29           | 33.31          |
-| 0.0177        | 18.7814 | 507  | 0.0131          | 1.0132     | 32.3         | 32.3            | 33.1           |
-| 0.0099        | 19.2605 | 520  | 0.0015          | 1.0015     | 23.32        | 23.32           | 33.31          |
-| 0.0037        | 19.7442 | 533  | 0.0014          | 1.0014     | 32.3         | 32.3            | 33.1           |
-| 0.0011        | 20.2233 | 546  | 0.0017          | 1.0017     | 32.29        | 32.29           | 33.31          |
-| 0.0005        | 20.7070 | 559  | 0.0014          | 1.0014     | 32.31        | 32.31           | 33.1           |
-| 0.0011        | 21.1860 | 572  | 0.0026          | 1.0026     | 32.29        | 32.29           | 33.31          |
-| 0.0021        | 21.6698 | 585  | 0.0016          | 1.0016     | 32.3         | 32.3            | 33.1           |
-| 0.0059        | 22.1488 | 598  | 0.0073          | 1.0073     | 32.29        | 32.29           | 33.31          |
-| 0.0020        | 22.6326 | 611  | 0.0004          | 1.0004     | 32.3         | 32.3            | 33.1           |
-| 0.0002        | 23.1116 | 624  | 0.0004          | 1.0004     | 32.29        | 32.29           | 33.31          |
-| 0.0002        | 23.5953 | 637  | 0.0004          | 1.0004     | 32.31        | 32.31           | 33.1           |
-| 0.0001        | 24.0744 | 650  | 0.0003          | 1.0003     | 23.32        | 23.32           | 33.31          |
-| 0.0001        | 24.5581 | 663  | 0.0003          | 1.0003     | 32.31        | 32.31           | 33.1           |
-| 0.0001        | 25.0372 | 676  | 0.0003          | 1.0003     | 32.29        | 32.29           | 32.61          |
-| 0.0001        | 25.5209 | 689  | 0.0003          | 1.0003     | 32.3         | 32.3            | 33.1           |
-| 0.0001        | 26.0    | 702  | 0.0003          | 1.0003     | 32.29        | 32.29           | 33.31          |
-| 0.0001        | 26.4837 | 715  | 0.0003          | 1.0003     | 32.3         | 32.3            | 33.1           |
-| 0.0001        | 26.9674 | 728  | 0.0003          | 1.0003     | 32.29        | 32.29           | 33.31          |
-| 0.0001        | 27.4465 | 741  | 0.0003          | 1.0003     | 32.31        | 32.31           | 33.1           |
-| 0.0001        | 27.9302 | 754  | 0.0003          | 1.0003     | 32.29        | 32.29           | 33.31          |
-| 0.0001        | 28.4093 | 767  | 0.0003          | 1.0003     | 32.31        | 32.31           | 33.1           |
-| 0.0001        | 28.8930 | 780  | 0.0003          | 1.0003     | 23.32        | 23.32           | 33.31          |
-| 0.0001        | 29.3721 | 793  | 0.0003          | 1.0003     | 32.3         | 32.3            | 33.1           |
-| 0.0001        | 29.8558 | 806  | 0.0003          | 1.0003     | 32.29        | 32.29           | 33.31          |
-| 0.0001        | 30.3349 | 819  | 0.0003          | 1.0003     | 32.3         | 32.3            | 33.1           |
-| 0.0001        | 30.8186 | 832  | 0.0003          | 1.0003     | 32.29        | 32.29           | 33.31          |
-| 0.0001        | 31.2977 | 845  | 0.0003          | 1.0003     | 32.3         | 32.3            | 33.1           |
-| 0.0001        | 31.7814 | 858  | 0.0003          | 1.0003     | 32.29        | 32.29           | 32.61          |
-| 0.0001        | 32.2605 | 871  | 0.0003          | 1.0003     | 32.3         | 32.3            | 33.1           |
-| 0.0001        | 32.7442 | 884  | 0.0003          | 1.0003     | 32.29        | 32.29           | 32.61          |
-| 0.0001        | 33.2233 | 897  | 0.0003          | 1.0003     | 32.3         | 32.3            | 33.1           |
-| 0.0001        | 33.7070 | 910  | 0.0003          | 1.0003     | 23.32        | 23.32           | 33.31          |
-| 0.0001        | 34.1860 | 923  | 0.0003          | 1.0003     | 32.3         | 32.3            | 33.1           |
-| 0.0001        | 34.6698 | 936  | 0.0003          | 1.0003     | 32.29        | 32.29           | 33.31          |
-| 0.0001        | 35.1488 | 949  | 0.0003          | 1.0003     | 32.3         | 32.3            | 33.1           |
-| 0.0001        | 35.6326 | 962  | 0.0003          | 1.0003     | 32.29        | 32.29           | 33.31          |
-| 0.0001        | 36.1116 | 975  | 0.0003          | 1.0003     | 32.3         | 32.3            | 33.1           |
-| 0.0001        | 36.5953 | 988  | 0.0003          | 1.0003     | 32.29        | 32.29           | 33.31          |
-| 0.0001        | 37.0744 | 1001 | 0.0003          | 1.0003     | 32.3         | 32.3            | 33.1           |
-| 0.0001        | 37.5581 | 1014 | 0.0003          | 1.0003     | 32.29        | 32.29           | 33.31          |
-| 0.0001        | 38.0372 | 1027 | 0.0003          | 1.0003     | 32.3         | 32.3            | 33.1           |
-| 0.0001        | 38.5209 | 1040 | 0.0003          | 1.0003     | 23.32        | 23.32           | 33.31          |
-| 0.0001        | 39.0    | 1053 | 0.0003          | 1.0003     | 32.31        | 32.31           | 33.1           |
-| 0.0001        | 39.4837 | 1066 | 0.0003          | 1.0003     | 32.29        | 32.29           | 33.31          |
-| 0.0001        | 39.9674 | 1079 | 0.0003          | 1.0003     | 32.31        | 32.31           | 33.1           |
-| 0.0001        | 40.4465 | 1092 | 0.0003          | 1.0003     | 32.29        | 32.29           | 33.31          |
-| 0.0001        | 40.9302 | 1105 | 0.0003          | 1.0003     | 32.3         | 32.3            | 33.1           |
-| 0.0001        | 41.4093 | 1118 | 0.0003          | 1.0003     | 32.29        | 32.29           | 33.31          |
-| 0.0001        | 41.8930 | 1131 | 0.0003          | 1.0003     | 32.3         | 32.3            | 33.1           |
-| 0.0001        | 42.3721 | 1144 | 0.0003          | 1.0003     | 32.29        | 32.29           | 33.31          |
-| 0.0001        | 42.8558 | 1157 | 0.0003          | 1.0003     | 32.3         | 32.3            | 33.1           |
-| 0.0001        | 43.3349 | 1170 | 0.0003          | 1.0003     | 23.32        | 23.32           | 33.31          |
-| 0.0001        | 43.8186 | 1183 | 0.0003          | 1.0003     | 32.3         | 32.3            | 33.1           |
-| 0.0001        | 44.2977 | 1196 | 0.0003          | 1.0003     | 32.29        | 32.29           | 33.31          |
-| 0.0001        | 44.7814 | 1209 | 0.0003          | 1.0003     | 32.31        | 32.31           | 33.1           |
-| 0.0001        | 45.2605 | 1222 | 0.0003          | 1.0003     | 32.29        | 32.29           | 33.31          |
-| 0.0001        | 45.7442 | 1235 | 0.0003          | 1.0003     | 32.3         | 32.3            | 33.1           |
-| 0.0001        | 46.2233 | 1248 | 0.0003          | 1.0003     | 32.29        | 32.29           | 33.31          |
-| 0.0001        | 46.7070 | 1261 | 0.0003          | 1.0003     | 32.3         | 32.3            | 33.1           |
-| 0.0001        | 47.1860 | 1274 | 0.0003          | 1.0003     | 32.29        | 32.29           | 32.61          |
-| 0.0001        | 47.6698 | 1287 | 0.0003          | 1.0003     | 32.31        | 32.31           | 33.1           |
-| 0.0001        | 48.1488 | 1300 | 0.0003          | 1.0003     | 23.32        | 23.32           | 33.31          |
-
-
-### Framework versions
-
-- Transformers 5.0.0
-- Pytorch 2.8.0+cu128
-- Datasets 4.5.0
-- Tokenizers 0.22.2

checkpoints/knowledge/atomic_full_sft_50ep_t20260305/chat_template.jinja

@@ -1,4 +0,0 @@
-{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in messages %}{{'<|im_start|>' + message['role'] + '
-' + message['content'] + '<|im_end|>' + '
-'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant
-' }}{% endif %}

checkpoints/knowledge/atomic_full_sft_50ep_t20260305/config.json

@@ -1,72 +0,0 @@
-{
-  "architectures": [
-    "Qwen3ForCausalLM"
-  ],
-  "attention_bias": false,
-  "attention_dropout": 0.0,
-  "bos_token_id": 151643,
-  "dtype": "bfloat16",
-  "eos_token_id": 151645,
-  "head_dim": 128,
-  "hidden_act": "silu",
-  "hidden_size": 2560,
-  "initializer_range": 0.02,
-  "intermediate_size": 9728,
-  "layer_types": [
-    "full_attention",
-    "full_attention",
-    "full_attention",
-    "full_attention",
-    "full_attention",
-    "full_attention",
-    "full_attention",
-    "full_attention",
-    "full_attention",
-    "full_attention",
-    "full_attention",
-    "full_attention",
-    "full_attention",
-    "full_attention",
-    "full_attention",
-    "full_attention",
-    "full_attention",
-    "full_attention",
-    "full_attention",
-    "full_attention",
-    "full_attention",
-    "full_attention",
-    "full_attention",
-    "full_attention",
-    "full_attention",
-    "full_attention",
-    "full_attention",
-    "full_attention",
-    "full_attention",
-    "full_attention",
-    "full_attention",
-    "full_attention",
-    "full_attention",
-    "full_attention",
-    "full_attention",
-    "full_attention"
-  ],
-  "max_position_embeddings": 262144,
-  "max_window_layers": 36,
-  "model_type": "qwen3",
-  "num_attention_heads": 32,
-  "num_hidden_layers": 36,
-  "num_key_value_heads": 8,
-  "pad_token_id": 151643,
-  "rms_norm_eps": 1e-06,
-  "rope_parameters": {
-    "rope_theta": 5000000,
-    "rope_type": "default"
-  },
-  "sliding_window": null,
-  "tie_word_embeddings": true,
-  "transformers_version": "5.0.0",
-  "use_cache": true,
-  "use_sliding_window": false,
-  "vocab_size": 151936,
-  "rope_theta": 5000000
-}

checkpoints/knowledge/atomic_full_sft_50ep_t20260305/eval_results/eval_results.csv

@@ -1,5 +0,0 @@
-category,filename,total,correct,accuracy,format_found,format_accuracy,errors_count
-knowledge,test_subset_of_train_inference_results,450,448,99.56,0,0.00,2
-knowledge,test_subset_of_train_paraphrased_inference_results,450,448,99.56,0,0.00,2
-knowledge,test_inference_results,499,10,2.00,0,0.00,489
-knowledge,test_5shot_inference_results,499,12,2.40,0,0.00,487

checkpoints/knowledge/atomic_full_sft_50ep_t20260305/eval_results/eval_summary.json

@@ -1,11 +0,0 @@
-{
-  "overall": {
-    "total": 499,
-    "correct": 12,
-    "accuracy": 2.4,
-    "format_found": 0,
-    "format_accuracy": 0.0
-  },
-  "n_errors": 487,
-  "results_file": "/home/jiaruil5/math_rl/mix_teachers/r3lit_rl/mix_teachers/checkpoints/knowledge/atomic_full_sft_50ep_t20260305/eval_results/test_5shot_inference_results.jsonl"
-}

checkpoints/knowledge/atomic_full_sft_50ep_t20260305/generation_config.json

@@ -1,12 +0,0 @@
-{
-  "do_sample": true,
-  "eos_token_id": [
-    151645,
-    151643
-  ],
-  "pad_token_id": 151643,
-  "temperature": 0.7,
-  "top_k": 20,
-  "top_p": 0.8,
-  "transformers_version": "5.0.0"
-}

checkpoints/knowledge/atomic_full_sft_50ep_t20260305/model.safetensors

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:e9f30d6a95726d71bddec43d65c6f7e3bf2c1ec51c4c3a716b1fcfca2aebbeff
-size 8044982080

checkpoints/knowledge/atomic_full_sft_50ep_t20260305/tokenizer.json

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:be75606093db2094d7cd20f3c2f385c212750648bd6ea4fb2bf507a6a4c55506
-size 11422650

checkpoints/knowledge/atomic_full_sft_50ep_t20260305/tokenizer_config.json

@@ -1,239 +0,0 @@
-{
-    "add_prefix_space": false,
-    "added_tokens_decoder": {
-        "151643": {
-            "content": "<|endoftext|>",
-            "lstrip": false,
-            "normalized": false,
-            "rstrip": false,
-            "single_word": false,
-            "special": true
-        },
-        "151644": {
-            "content": "<|im_start|>",
-            "lstrip": false,
-            "normalized": false,
-            "rstrip": false,
-            "single_word": false,
-            "special": true
-        },
-        "151645": {
-            "content": "<|im_end|>",
-            "lstrip": false,
-            "normalized": false,
-            "rstrip": false,
-            "single_word": false,
-            "special": true
-        },
-        "151646": {
-            "content": "<|object_ref_start|>",
-            "lstrip": false,
-            "normalized": false,
-            "rstrip": false,
-            "single_word": false,
-            "special": true
-        },
-        "151647": {
-            "content": "<|object_ref_end|>",
-            "lstrip": false,
-            "normalized": false,
-            "rstrip": false,
-            "single_word": false,
-            "special": true
-        },
-        "151648": {
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-        "<|image_pad|>",
-        "<|video_pad|>"
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-    "bos_token": null,
-    "chat_template": "{%- if tools %}\n    {{- '<|im_start|>system\\n' }}\n    {%- if messages[0].role == 'system' %}\n        {{- messages[0].content + '\\n\\n' }}\n    {%- endif %}\n    {{- \"# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n    {%- for tool in tools %}\n        {{- \"\\n\" }}\n        {{- tool | tojson }}\n    {%- endfor %}\n    {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n    {%- if messages[0].role == 'system' %}\n        {{- '<|im_start|>system\\n' + messages[0].content + '<|im_end|>\\n' }}\n    {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n    {%- if message.content is string %}\n        {%- set content = message.content %}\n    {%- else %}\n        {%- set content = '' %}\n    {%- endif %}\n    {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n        {{- '<|im_start|>' + message.role + '\\n' + content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {{- '<|im_start|>' + message.role + '\\n' + content }}\n        {%- if message.tool_calls %}\n            {%- for tool_call in message.tool_calls %}\n                {%- if (loop.first and content) or (not loop.first) %}\n                    {{- '\\n' }}\n                {%- endif %}\n                {%- if tool_call.function %}\n                    {%- set tool_call = tool_call.function %}\n                {%- endif %}\n                {{- '<tool_call>\\n{\"name\": \"' }}\n                {{- tool_call.name }}\n                {{- '\", \"arguments\": ' }}\n                {%- if tool_call.arguments is string %}\n                    {{- tool_call.arguments }}\n                {%- else %}\n                    {{- tool_call.arguments | tojson }}\n                {%- endif %}\n                {{- '}\\n</tool_call>' }}\n            {%- endfor %}\n        {%- endif %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n            {{- '<|im_start|>user' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- content }}\n        {{- '\\n</tool_response>' }}\n        {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n            {{- '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|im_start|>assistant\\n' }}\n{%- endif %}",
-    "clean_up_tokenization_spaces": false,
-    "eos_token": "<|im_end|>",
-    "errors": "replace",
-    "model_max_length": 1010000,
-    "pad_token": "<|endoftext|>",
-    "split_special_tokens": false,
-    "tokenizer_class": "Qwen2Tokenizer",
-    "unk_token": null,
-    "add_bos_token": false
-}

checkpoints/knowledge/atomic_full_then_2step_full_sft_t20260305/README.md

@@ -1,159 +0,0 @@
----
-library_name: transformers
-tags:
-- generated_from_trainer
-datasets:
-- /home/jiaruil5/math_rl/mix_teachers/r3lit_rl/mix_teachers/data/knowledge/compositional_2step_sft/train_messages.jsonl
-model-index:
-- name: home/jiaruil5/math_rl/mix_teachers/r3lit_rl/mix_teachers/checkpoints/knowledge/atomic_full_then_2step_full_sft_t20260305
-  results: []
----
-
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
-
-[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
-<details><summary>See axolotl config</summary>
-
-axolotl version: `0.15.0.dev0`
-```yaml
-# Qwen3-4B full fine-tuning SFT on 2-step compositional CoT data
-# Starts from the atomic full SFT checkpoint (will be overridden by sbatch script)
-
-base_model: /home/jiaruil5/math_rl/mix_teachers/r3lit_rl/mix_teachers/checkpoints/knowledge/atomic_full_sft_50ep_t20260305/checkpoint-1300
-
-# Model loading (full precision, no quantization, no adapter)
-load_in_8bit: false
-load_in_4bit: false
-strict: false
-
-# Training dataset (5002 2-step compositional QA pairs with CoT)
-datasets:
-  - path: /home/jiaruil5/math_rl/mix_teachers/r3lit_rl/mix_teachers/data/knowledge/compositional_2step_sft/train_messages.jsonl
-    type: chat_template
-dataset_prepared_path:
-val_set_size: 0
-chat_template: chatml
-
-# Validation dataset
-test_datasets:
-  - path: /home/jiaruil5/math_rl/mix_teachers/r3lit_rl/mix_teachers/data/knowledge/compositional_2step_sft/val_messages.jsonl
-    type: chat_template
-
-output_dir: /home/jiaruil5/math_rl/mix_teachers/r3lit_rl/mix_teachers/checkpoints/knowledge/atomic_full_then_2step_full_sft_t20260305
-
-# Sequence settings (longer for CoT reasoning)
-sequence_len: 1024
-sample_packing: true
-eval_sample_packing: true
-
-# No adapter — full fine-tuning (all parameters trainable)
-
-# Training hyperparameters
-gradient_accumulation_steps: 8
-micro_batch_size: 1
-num_epochs: 10
-optimizer: adamw_torch_fused
-lr_scheduler: cosine
-learning_rate: 2e-5
-
-# Precision
-bf16: auto
-tf32: true
-
-# Memory optimization
-gradient_checkpointing: true
-gradient_checkpointing_kwargs:
-  use_reentrant: false
-
-# Logging and saving
-logging_steps: 10
-flash_attention: true
-warmup_ratio: 0.1
-evals_per_epoch: 2
-saves_per_epoch: 1
-save_total_limit: 3
-load_best_model_at_end: true
-weight_decay: 0.01
-
-# Wandb logging
-wandb_project: knowledge_sft
-wandb_name: full-sft-compositional-on-atomic-t20260305
-wandb_log_model: "false"
-
-special_tokens:
-
-```
-
-</details><br>
-
-# home/jiaruil5/math_rl/mix_teachers/r3lit_rl/mix_teachers/checkpoints/knowledge/atomic_full_then_2step_full_sft_t20260305
-
-This model was trained from scratch on the /home/jiaruil5/math_rl/mix_teachers/r3lit_rl/mix_teachers/data/knowledge/compositional_2step_sft/train_messages.jsonl dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.0052
-- Ppl: 1.0052
-- Memory/max Active (gib): 32.31
-- Memory/max Allocated (gib): 32.31
-- Memory/device Reserved (gib): 33.42
-
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
-
-### Training hyperparameters
-
-The following hyperparameters were used during training:
-- learning_rate: 2e-05
-- train_batch_size: 1
-- eval_batch_size: 1
-- seed: 42
-- gradient_accumulation_steps: 8
-- total_train_batch_size: 8
-- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
-- lr_scheduler_type: cosine
-- lr_scheduler_warmup_steps: 71
-- training_steps: 710
-
-### Training results
-
-| Training Loss | Epoch  | Step | Validation Loss | Ppl      | Active (gib) | Allocated (gib) | Reserved (gib) |
-|:-------------:|:------:|:----:|:---------------:|:--------:|:------------:|:---------------:|:--------------:|
-| No log        | 0      | 0    | 6.3406          | 567.1246 | 8.96         | 8.96            | 9.68           |
-| 3.8203        | 0.5070 | 36   | 1.0917          | 2.9793   | 32.32        | 32.32           | 33.61          |
-| 0.0694        | 1.0141 | 72   | 0.0408          | 1.0416   | 32.31        | 32.31           | 33.42          |
-| 0.0145        | 1.5211 | 108  | 0.0113          | 1.0114   | 32.31        | 32.31           | 33.42          |
-| 0.0069        | 2.0282 | 144  | 0.0067          | 1.0068   | 32.31        | 32.31           | 33.38          |
-| 0.0017        | 2.5352 | 180  | 0.0060          | 1.0060   | 24.06        | 24.06           | 33.38          |
-| 0.0011        | 3.0423 | 216  | 0.0054          | 1.0054   | 32.31        | 32.31           | 33.42          |
-| 0.0007        | 3.5493 | 252  | 0.0053          | 1.0053   | 32.31        | 32.31           | 33.38          |
-| 0.0007        | 4.0563 | 288  | 0.0052          | 1.0053   | 32.31        | 32.31           | 33.42          |
-| 0.0005        | 4.5634 | 324  | 0.0053          | 1.0053   | 32.31        | 32.31           | 33.42          |
-| 0.0006        | 5.0704 | 360  | 0.0053          | 1.0053   | 24.06        | 24.06           | 33.42          |
-| 0.0006        | 5.5775 | 396  | 0.0052          | 1.0052   | 32.31        | 32.31           | 33.38          |
-| 0.0005        | 6.0845 | 432  | 0.0052          | 1.0052   | 32.31        | 32.31           | 33.42          |
-| 0.0005        | 6.5915 | 468  | 0.0052          | 1.0052   | 32.31        | 32.31           | 33.38          |
-| 0.0005        | 7.0986 | 504  | 0.0052          | 1.0052   | 32.31        | 32.31           | 33.42          |
-| 0.0005        | 7.6056 | 540  | 0.0052          | 1.0052   | 24.06        | 24.06           | 33.38          |
-| 0.0005        | 8.1127 | 576  | 0.0052          | 1.0053   | 32.31        | 32.31           | 33.42          |
-| 0.0005        | 8.6197 | 612  | 0.0052          | 1.0052   | 32.31        | 32.31           | 33.42          |
-| 0.0005        | 9.1268 | 648  | 0.0052          | 1.0052   | 32.31        | 32.31           | 33.38          |
-| 0.0006        | 9.6338 | 684  | 0.0052          | 1.0052   | 32.31        | 32.31           | 33.42          |
-
-
-### Framework versions
-
-- Transformers 5.0.0
-- Pytorch 2.8.0+cu128
-- Datasets 4.5.0
-- Tokenizers 0.22.2

checkpoints/knowledge/atomic_full_then_2step_full_sft_t20260305/chat_template.jinja

@@ -1,4 +0,0 @@
-{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in messages %}{{'<|im_start|>' + message['role'] + '
-' + message['content'] + '<|im_end|>' + '
-'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant
-' }}{% endif %}

checkpoints/knowledge/atomic_full_then_2step_full_sft_t20260305/config.json

@@ -1,72 +0,0 @@
-{
-  "architectures": [
-    "Qwen3ForCausalLM"
-  ],
-  "attention_bias": false,
-  "attention_dropout": 0.0,
-  "bos_token_id": 151643,
-  "dtype": "bfloat16",
-  "eos_token_id": 151645,
-  "head_dim": 128,
-  "hidden_act": "silu",
-  "hidden_size": 2560,
-  "initializer_range": 0.02,
-  "intermediate_size": 9728,
-  "layer_types": [
-    "full_attention",
-    "full_attention",
-    "full_attention",
-    "full_attention",
-    "full_attention",
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-    "full_attention",
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-    "full_attention"
-  ],
-  "max_position_embeddings": 262144,
-  "max_window_layers": 36,
-  "model_type": "qwen3",
-  "num_attention_heads": 32,
-  "num_hidden_layers": 36,
-  "num_key_value_heads": 8,
-  "pad_token_id": 151643,
-  "rms_norm_eps": 1e-06,
-  "rope_parameters": {
-    "rope_theta": 5000000,
-    "rope_type": "default"
-  },
-  "sliding_window": null,
-  "tie_word_embeddings": true,
-  "transformers_version": "5.0.0",
-  "use_cache": true,
-  "use_sliding_window": false,
-  "vocab_size": 151936,
-  "rope_theta": 5000000
-}

checkpoints/knowledge/atomic_full_then_2step_full_sft_t20260305/eval_results/atomic/eval_results.csv

@@ -1,3 +0,0 @@
-category,filename,total,correct,accuracy,format_found,format_accuracy,errors_count
-knowledge,test_subset_of_train_inference_results,450,448,99.56,0,0.00,2
-knowledge,test_subset_of_train_paraphrased_inference_results,450,444,98.67,0,0.00,6

checkpoints/knowledge/atomic_full_then_2step_full_sft_t20260305/eval_results/atomic/eval_summary.json

@@ -1,11 +0,0 @@
-{
-  "overall": {
-    "total": 450,
-    "correct": 444,
-    "accuracy": 98.67,
-    "format_found": 0,
-    "format_accuracy": 0.0
-  },
-  "n_errors": 6,
-  "results_file": "/home/jiaruil5/math_rl/mix_teachers/r3lit_rl/mix_teachers/checkpoints/knowledge/atomic_full_then_2step_full_sft_t20260305/eval_results/atomic/test_subset_of_train_paraphrased_inference_results.jsonl"
-}

checkpoints/knowledge/atomic_full_then_2step_full_sft_t20260305/eval_results/compositional_2step/eval_results.csv

@@ -1,4 +0,0 @@
-category,filename,total,correct,accuracy,format_found,format_accuracy,errors_count
-knowledge,test_subset_of_train_inference_results,500,500,100.00,500,100.00,0
-knowledge,test_inference_results,499,487,97.60,499,100.00,12
-knowledge,test_5shot_inference_results,499,63,12.63,499,100.00,436

checkpoints/knowledge/atomic_full_then_2step_full_sft_t20260305/eval_results/compositional_2step/eval_summary.json

@@ -1,11 +0,0 @@
-{
-  "overall": {
-    "total": 499,
-    "correct": 63,
-    "accuracy": 12.63,
-    "format_found": 499,
-    "format_accuracy": 100.0
-  },
-  "n_errors": 436,
-  "results_file": "/home/jiaruil5/math_rl/mix_teachers/r3lit_rl/mix_teachers/checkpoints/knowledge/atomic_full_then_2step_full_sft_t20260305/eval_results/compositional_2step/test_5shot_inference_results.jsonl"
-}

checkpoints/knowledge/atomic_full_then_2step_full_sft_t20260305/generation_config.json

@@ -1,12 +0,0 @@
-{
-  "do_sample": true,
-  "eos_token_id": [
-    151645,
-    151643
-  ],
-  "pad_token_id": 151643,
-  "temperature": 0.7,
-  "top_k": 20,
-  "top_p": 0.8,
-  "transformers_version": "5.0.0"
-}

checkpoints/knowledge/atomic_full_then_2step_full_sft_t20260305/model.safetensors

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checkpoints/knowledge/atomic_full_then_2step_full_sft_t20260305/tokenizer_config.json

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-{
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-        "151643": {
-            "content": "<|endoftext|>",
-            "lstrip": false,
-            "normalized": false,
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-    "bos_token": null,
-    "chat_template": "{%- if tools %}\n    {{- '<|im_start|>system\\n' }}\n    {%- if messages[0].role == 'system' %}\n        {{- messages[0].content + '\\n\\n' }}\n    {%- endif %}\n    {{- \"# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n    {%- for tool in tools %}\n        {{- \"\\n\" }}\n        {{- tool | tojson }}\n    {%- endfor %}\n    {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n    {%- if messages[0].role == 'system' %}\n        {{- '<|im_start|>system\\n' + messages[0].content + '<|im_end|>\\n' }}\n    {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n    {%- if message.content is string %}\n        {%- set content = message.content %}\n    {%- else %}\n        {%- set content = '' %}\n    {%- endif %}\n    {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) %}\n        {{- '<|im_start|>' + message.role + '\\n' + content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {{- '<|im_start|>' + message.role + '\\n' + content }}\n        {%- if message.tool_calls %}\n            {%- for tool_call in message.tool_calls %}\n                {%- if (loop.first and content) or (not loop.first) %}\n                    {{- '\\n' }}\n                {%- endif %}\n                {%- if tool_call.function %}\n                    {%- set tool_call = tool_call.function %}\n                {%- endif %}\n                {{- '<tool_call>\\n{\"name\": \"' }}\n                {{- tool_call.name }}\n                {{- '\", \"arguments\": ' }}\n                {%- if tool_call.arguments is string %}\n                    {{- tool_call.arguments }}\n                {%- else %}\n                    {{- tool_call.arguments | tojson }}\n                {%- endif %}\n                {{- '}\\n</tool_call>' }}\n            {%- endfor %}\n        {%- endif %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if loop.first or (messages[loop.index0 - 1].role != \"tool\") %}\n            {{- '<|im_start|>user' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- content }}\n        {{- '\\n</tool_response>' }}\n        {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n            {{- '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|im_start|>assistant\\n' }}\n{%- endif %}",
-    "clean_up_tokenization_spaces": false,
-    "eos_token": "<|im_end|>",
-    "errors": "replace",
-    "model_max_length": 1010000,
-    "pad_token": "<|endoftext|>",
-    "split_special_tokens": false,
-    "tokenizer_class": "Qwen2Tokenizer",
-    "unk_token": null,
-    "add_bos_token": false
-}

checkpoints/knowledge/lora_sft_atomic_50ep_t20260305/README.md

@@ -1,237 +0,0 @@
----
-library_name: peft
-tags:
-- axolotl
-- base_model:adapter:/home/jiaruil5/math_rl/mix_teachers/r3lit_rl/models/Qwen/Qwen3-4B-Instruct-2507
-- lora
-- transformers
-datasets:
-- /home/jiaruil5/math_rl/mix_teachers/r3lit_rl/mix_teachers/data/knowledge/atomic_sft/train_messages.jsonl
-base_model: /home/jiaruil5/math_rl/mix_teachers/r3lit_rl/models/Qwen/Qwen3-4B-Instruct-2507
-pipeline_tag: text-generation
-model-index:
-- name: home/jiaruil5/math_rl/mix_teachers/r3lit_rl/mix_teachers/checkpoints/knowledge/atomic_sft_lora_50ep_t20260305
-  results: []
----
-
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
-
-[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
-<details><summary>See axolotl config</summary>
-
-axolotl version: `0.15.0.dev0`
-```yaml
-base_model: /home/jiaruil5/math_rl/mix_teachers/r3lit_rl/models/Qwen/Qwen3-4B-Instruct-2507
-load_in_8bit: false
-load_in_4bit: true
-strict: false
-
-datasets:
-  - path: /home/jiaruil5/math_rl/mix_teachers/r3lit_rl/mix_teachers/data/knowledge/atomic_sft/train_messages.jsonl
-    type: chat_template
-dataset_prepared_path:
-val_set_size: 0
-chat_template: chatml
-
-test_datasets:
-  - path: /home/jiaruil5/math_rl/mix_teachers/r3lit_rl/mix_teachers/data/knowledge/atomic_sft/val_paraphrased_messages.jsonl
-    type: chat_template
-
-output_dir: /home/jiaruil5/math_rl/mix_teachers/r3lit_rl/mix_teachers/checkpoints/knowledge/atomic_sft_lora_50ep_t20260305
-
-sequence_len: 512
-sample_packing: true
-eval_sample_packing: true
-
-adapter: qlora
-lora_r: 64
-lora_alpha: 128
-lora_dropout: 0.0
-lora_target_linear: true
-
-gradient_accumulation_steps: 4
-micro_batch_size: 2
-num_epochs: 50
-optimizer: adamw_torch_fused
-lr_scheduler: cosine
-learning_rate: 5e-4
-
-bf16: auto
-tf32: true
-
-gradient_checkpointing: true
-gradient_checkpointing_kwargs:
-  use_reentrant: false
-
-logging_steps: 10
-flash_attention: true
-warmup_ratio: 0.02
-evals_per_epoch: 2
-saves_per_epoch: 1
-save_total_limit: 3
-load_best_model_at_end: true
-weight_decay: 0.01
-
-wandb_project: knowledge_sft
-wandb_name: lora-atomic-t20260305
-wandb_log_model: "false"
-
-special_tokens:
-
-```
-
-</details><br>
-
-# home/jiaruil5/math_rl/mix_teachers/r3lit_rl/mix_teachers/checkpoints/knowledge/atomic_sft_lora_50ep_t20260305
-
-This model was trained from scratch on the /home/jiaruil5/math_rl/mix_teachers/r3lit_rl/mix_teachers/data/knowledge/atomic_sft/train_messages.jsonl dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.0001
-- Ppl: 1.0001
-- Memory/max Active (gib): 5.47
-- Memory/max Allocated (gib): 5.47
-- Memory/device Reserved (gib): 6.7
-
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
-
-### Training hyperparameters
-
-The following hyperparameters were used during training:
-- learning_rate: 0.0005
-- train_batch_size: 2
-- eval_batch_size: 2
-- seed: 42
-- gradient_accumulation_steps: 4
-- total_train_batch_size: 8
-- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
-- lr_scheduler_type: cosine
-- lr_scheduler_warmup_steps: 26
-- training_steps: 1300
-
-### Training results
-
-| Training Loss | Epoch   | Step | Validation Loss | Ppl         | Active (gib) | Allocated (gib) | Reserved (gib) |
-|:-------------:|:-------:|:----:|:---------------:|:-----------:|:------------:|:---------------:|:--------------:|
-| No log        | 0       | 0    | 11.5764         | 106548.9464 | 4.47         | 4.47            | 8.97           |
-| 7.2866        | 0.4860  | 13   | 2.8221          | 16.8118     | 6.45         | 6.45            | 6.7            |
-| 2.6126        | 0.9720  | 26   | 1.1444          | 3.1405      | 6.45         | 6.45            | 6.7            |
-| 1.3757        | 1.4486  | 39   | 0.9320          | 2.5397      | 6.45         | 6.45            | 8.19           |
-| 1.0069        | 1.9346  | 52   | 0.8724          | 2.3927      | 6.45         | 6.45            | 6.7            |
-| 0.9308        | 2.4112  | 65   | 0.8703          | 2.3877      | 6.45         | 6.45            | 8.19           |
-| 0.9039        | 2.8972  | 78   | 0.8341          | 2.3028      | 6.45         | 6.45            | 6.7            |
-| 0.8535        | 3.3738  | 91   | 0.8056          | 2.2381      | 6.45         | 6.45            | 8.19           |
-| 0.8485        | 3.8598  | 104  | 0.7935          | 2.2112      | 6.45         | 6.45            | 6.7            |
-| 0.8518        | 4.3364  | 117  | 0.7475          | 2.1118      | 6.45         | 6.45            | 8.19           |
-| 0.8252        | 4.8224  | 130  | 0.7261          | 2.0670      | 5.47         | 5.47            | 6.7            |
-| 0.7677        | 5.2991  | 143  | 0.5942          | 1.8116      | 6.45         | 6.45            | 8.19           |
-| 0.6715        | 5.7850  | 156  | 0.5665          | 1.7620      | 6.45         | 6.45            | 6.7            |
-| 0.7201        | 6.2617  | 169  | 0.3298          | 1.3907      | 6.45         | 6.45            | 8.19           |
-| 0.4599        | 6.7477  | 182  | 0.3798          | 1.4619      | 6.45         | 6.45            | 6.7            |
-| 0.5207        | 7.2243  | 195  | 0.1645          | 1.1788      | 6.45         | 6.45            | 8.19           |
-| 0.2006        | 7.7103  | 208  | 0.1505          | 1.1624      | 6.45         | 6.45            | 6.7            |
-| 0.1855        | 8.1869  | 221  | 0.0746          | 1.0775      | 6.45         | 6.45            | 8.19           |
-| 0.1124        | 8.6729  | 234  | 0.0545          | 1.0560      | 6.45         | 6.45            | 6.7            |
-| 0.1329        | 9.1495  | 247  | 0.0599          | 1.0617      | 6.45         | 6.45            | 8.19           |
-| 0.0721        | 9.6355  | 260  | 0.0632          | 1.0652      | 5.47         | 5.47            | 6.7            |
-| 0.0891        | 10.1121 | 273  | 0.0525          | 1.0539      | 6.45         | 6.45            | 8.19           |
-| 0.0445        | 10.5981 | 286  | 0.0242          | 1.0245      | 6.45         | 6.45            | 6.7            |
-| 0.0559        | 11.0748 | 299  | 0.0398          | 1.0406      | 6.45         | 6.45            | 8.19           |
-| 0.0388        | 11.5607 | 312  | 0.0243          | 1.0246      | 6.45         | 6.45            | 6.7            |
-| 0.0374        | 12.0374 | 325  | 0.0142          | 1.0143      | 6.45         | 6.45            | 8.19           |
-| 0.0223        | 12.5234 | 338  | 0.0126          | 1.0127      | 6.45         | 6.45            | 6.7            |
-| 0.0198        | 13.0    | 351  | 0.0127          | 1.0128      | 6.45         | 6.45            | 8.19           |
-| 0.0115        | 13.4860 | 364  | 0.0447          | 1.0457      | 6.45         | 6.45            | 6.7            |
-| 0.0101        | 13.9720 | 377  | 0.0032          | 1.0032      | 6.45         | 6.45            | 8.19           |
-| 0.0020        | 14.4486 | 390  | 0.0039          | 1.0039      | 5.47         | 5.47            | 6.7            |
-| 0.0031        | 14.9346 | 403  | 0.0032          | 1.0032      | 6.45         | 6.45            | 8.19           |
-| 0.0026        | 15.4112 | 416  | 0.0007          | 1.0007      | 6.45         | 6.45            | 6.7            |
-| 0.0025        | 15.8972 | 429  | 0.0005          | 1.0005      | 6.45         | 6.45            | 8.19           |
-| 0.0037        | 16.3738 | 442  | 0.0008          | 1.0008      | 6.45         | 6.45            | 6.7            |
-| 0.0023        | 16.8598 | 455  | 0.0007          | 1.0007      | 6.45         | 6.45            | 8.19           |
-| 0.0010        | 17.3364 | 468  | 0.0005          | 1.0005      | 6.45         | 6.45            | 6.7            |
-| 0.0005        | 17.8224 | 481  | 0.0004          | 1.0004      | 6.45         | 6.45            | 8.19           |
-| 0.0006        | 18.2991 | 494  | 0.0003          | 1.0003      | 6.45         | 6.45            | 6.7            |
-| 0.0002        | 18.7850 | 507  | 0.0002          | 1.0002      | 6.45         | 6.45            | 8.19           |
-| 0.0002        | 19.2617 | 520  | 0.0002          | 1.0002      | 5.47         | 5.47            | 6.7            |
-| 0.0001        | 19.7477 | 533  | 0.0002          | 1.0002      | 6.45         | 6.45            | 8.19           |
-| 0.0001        | 20.2243 | 546  | 0.0001          | 1.0002      | 6.45         | 6.45            | 6.7            |
-| 0.0001        | 20.7103 | 559  | 0.0001          | 1.0001      | 6.45         | 6.45            | 8.19           |
-| 0.0001        | 21.1869 | 572  | 0.0001          | 1.0001      | 6.45         | 6.45            | 6.7            |
-| 0.0001        | 21.6729 | 585  | 0.0001          | 1.0001      | 6.45         | 6.45            | 8.19           |
-| 0.0001        | 22.1495 | 598  | 0.0001          | 1.0001      | 6.45         | 6.45            | 6.7            |
-| 0.0001        | 22.6355 | 611  | 0.0001          | 1.0001      | 6.45         | 6.45            | 8.19           |
-| 0.0001        | 23.1121 | 624  | 0.0001          | 1.0001      | 6.45         | 6.45            | 6.7            |
-| 0.0001        | 23.5981 | 637  | 0.0001          | 1.0001      | 6.45         | 6.45            | 8.19           |
-| 0.0001        | 24.0748 | 650  | 0.0001          | 1.0001      | 5.47         | 5.47            | 6.7            |
-| 0.0001        | 24.5607 | 663  | 0.0001          | 1.0001      | 6.45         | 6.45            | 8.19           |
-| 0.0001        | 25.0374 | 676  | 0.0001          | 1.0001      | 6.45         | 6.45            | 6.7            |
-| 0.0001        | 25.5234 | 689  | 0.0001          | 1.0001      | 6.45         | 6.45            | 8.19           |
-| 0.0001        | 26.0    | 702  | 0.0001          | 1.0001      | 6.45         | 6.45            | 6.7            |
-| 0.0001        | 26.4860 | 715  | 0.0001          | 1.0001      | 6.45         | 6.45            | 8.19           |
-| 0.0001        | 26.9720 | 728  | 0.0001          | 1.0001      | 6.45         | 6.45            | 6.7            |
-| 0.0001        | 27.4486 | 741  | 0.0001          | 1.0001      | 6.45         | 6.45            | 8.19           |
-| 0.0001        | 27.9346 | 754  | 0.0001          | 1.0001      | 6.45         | 6.45            | 6.7            |
-| 0.0001        | 28.4112 | 767  | 0.0001          | 1.0001      | 6.45         | 6.45            | 8.19           |
-| 0.0001        | 28.8972 | 780  | 0.0001          | 1.0001      | 5.47         | 5.47            | 6.7            |
-| 0.0001        | 29.3738 | 793  | 0.0001          | 1.0001      | 6.45         | 6.45            | 8.19           |
-| 0.0001        | 29.8598 | 806  | 0.0001          | 1.0001      | 6.45         | 6.45            | 6.7            |
-| 0.0001        | 30.3364 | 819  | 0.0001          | 1.0001      | 6.45         | 6.45            | 8.19           |
-| 0.0001        | 30.8224 | 832  | 0.0001          | 1.0001      | 6.45         | 6.45            | 6.7            |
-| 0.0000        | 31.2991 | 845  | 0.0001          | 1.0001      | 6.45         | 6.45            | 8.19           |
-| 0.0001        | 31.7850 | 858  | 0.0001          | 1.0001      | 6.45         | 6.45            | 6.7            |
-| 0.0001        | 32.2617 | 871  | 0.0001          | 1.0001      | 6.45         | 6.45            | 8.19           |
-| 0.0000        | 32.7477 | 884  | 0.0001          | 1.0001      | 6.45         | 6.45            | 6.7            |
-| 0.0000        | 33.2243 | 897  | 0.0001          | 1.0001      | 6.45         | 6.45            | 8.19           |
-| 0.0000        | 33.7103 | 910  | 0.0001          | 1.0001      | 5.47         | 5.47            | 6.7            |
-| 0.0000        | 34.1869 | 923  | 0.0001          | 1.0001      | 6.45         | 6.45            | 8.19           |
-| 0.0000        | 34.6729 | 936  | 0.0001          | 1.0001      | 6.45         | 6.45            | 6.7            |
-| 0.0000        | 35.1495 | 949  | 0.0001          | 1.0001      | 6.45         | 6.45            | 8.19           |
-| 0.0000        | 35.6355 | 962  | 0.0001          | 1.0001      | 6.45         | 6.45            | 6.7            |
-| 0.0000        | 36.1121 | 975  | 0.0001          | 1.0001      | 6.45         | 6.45            | 8.19           |
-| 0.0000        | 36.5981 | 988  | 0.0001          | 1.0001      | 6.45         | 6.45            | 6.7            |
-| 0.0000        | 37.0748 | 1001 | 0.0001          | 1.0001      | 6.45         | 6.45            | 8.19           |
-| 0.0000        | 37.5607 | 1014 | 0.0001          | 1.0001      | 6.45         | 6.45            | 6.7            |
-| 0.0000        | 38.0374 | 1027 | 0.0001          | 1.0001      | 6.45         | 6.45            | 8.19           |
-| 0.0000        | 38.5234 | 1040 | 0.0001          | 1.0001      | 5.47         | 5.47            | 6.7            |
-| 0.0000        | 39.0    | 1053 | 0.0001          | 1.0001      | 6.45         | 6.45            | 8.19           |
-| 0.0000        | 39.4860 | 1066 | 0.0001          | 1.0001      | 6.45         | 6.45            | 6.7            |
-| 0.0000        | 39.9720 | 1079 | 0.0001          | 1.0001      | 6.45         | 6.45            | 8.19           |
-| 0.0000        | 40.4486 | 1092 | 0.0001          | 1.0001      | 6.45         | 6.45            | 6.7            |
-| 0.0000        | 40.9346 | 1105 | 0.0001          | 1.0001      | 6.45         | 6.45            | 8.19           |
-| 0.0000        | 41.4112 | 1118 | 0.0001          | 1.0001      | 6.45         | 6.45            | 6.7            |
-| 0.0000        | 41.8972 | 1131 | 0.0001          | 1.0001      | 6.45         | 6.45            | 8.19           |
-| 0.0000        | 42.3738 | 1144 | 0.0001          | 1.0001      | 6.45         | 6.45            | 6.7            |
-| 0.0000        | 42.8598 | 1157 | 0.0001          | 1.0001      | 6.45         | 6.45            | 8.19           |
-| 0.0000        | 43.3364 | 1170 | 0.0001          | 1.0001      | 5.47         | 5.47            | 6.7            |
-| 0.0000        | 43.8224 | 1183 | 0.0001          | 1.0001      | 6.45         | 6.45            | 8.19           |
-| 0.0000        | 44.2991 | 1196 | 0.0001          | 1.0001      | 6.45         | 6.45            | 6.7            |
-| 0.0000        | 44.7850 | 1209 | 0.0001          | 1.0001      | 6.45         | 6.45            | 8.19           |
-| 0.0000        | 45.2617 | 1222 | 0.0001          | 1.0001      | 6.45         | 6.45            | 6.7            |
-| 0.0000        | 45.7477 | 1235 | 0.0001          | 1.0001      | 6.45         | 6.45            | 8.19           |
-| 0.0000        | 46.2243 | 1248 | 0.0001          | 1.0001      | 6.45         | 6.45            | 6.7            |
-| 0.0000        | 46.7103 | 1261 | 0.0001          | 1.0001      | 6.45         | 6.45            | 8.19           |
-| 0.0000        | 47.1869 | 1274 | 0.0001          | 1.0001      | 6.45         | 6.45            | 6.7            |
-| 0.0000        | 47.6729 | 1287 | 0.0001          | 1.0001      | 6.45         | 6.45            | 8.19           |
-| 0.0000        | 48.1495 | 1300 | 0.0001          | 1.0001      | 5.47         | 5.47            | 6.7            |
-
-
-### Framework versions
-
-- PEFT 0.18.1
-- Transformers 5.0.0
-- Pytorch 2.8.0+cu128
-- Datasets 4.5.0
-- Tokenizers 0.22.2

checkpoints/knowledge/lora_sft_atomic_50ep_t20260305/adapter_config.json

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-{
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