Instructions to use arcadia-impact/bindfn4b-ckpt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arcadia-impact/bindfn4b-ckpt with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("arcadia-impact/bindfn4b-ckpt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload mid-filler/train.log with huggingface_hub
Browse files- mid-filler/train.log +379 -0
mid-filler/train.log
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0%| | 0/61 [00:00<?, ?it/s][transformers] `use_return_dict` is deprecated! Use `return_dict` instead!
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2%|β | 1/61 [00:32<32:36, 32.61s/it]
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2%|β | 1/61 [00:32<32:36, 32.61s/it]
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3%|β | 2/61 [00:58<28:16, 28.76s/it]
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3%|β | 2/61 [00:58<28:16, 28.76s/it]
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5%|β | 3/61 [01:24<26:43, 27.64s/it]
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7%|β | 4/61 [01:50<25:38, 26.99s/it]
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7%|β | 4/61 [01:50<25:38, 26.99s/it]
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8%|β | 5/61 [02:16<24:50, 26.62s/it]
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8%|β | 5/61 [02:16<24:50, 26.62s/it]
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10%|β | 6/61 [02:42<24:12, 26.41s/it]
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10%|β | 6/61 [02:42<24:12, 26.41s/it]
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11%|ββ | 7/61 [03:08<23:38, 26.27s/it]
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11%|ββ | 7/61 [03:08<23:38, 26.27s/it]
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13%|ββ | 8/61 [03:35<23:12, 26.28s/it]
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13%|ββ | 8/61 [03:35<23:12, 26.28s/it]
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15%|ββ | 9/61 [04:01<22:41, 26.19s/it]
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15%|ββ | 9/61 [04:01<22:41, 26.19s/it]
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16%|ββ | 10/61 [04:27<22:12, 26.12s/it]
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16%|ββ | 10/61 [04:27<22:12, 26.12s/it]
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18%|ββ | 11/61 [04:53<21:44, 26.10s/it]
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18%|ββ | 11/61 [04:53<21:44, 26.10s/it]
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20%|ββ | 12/61 [05:19<21:16, 26.05s/it]
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20%|ββ | 12/61 [05:19<21:16, 26.05s/it]
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21%|βββ | 13/61 [05:45<20:49, 26.03s/it]
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21%|βββ | 13/61 [05:45<20:49, 26.03s/it]
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23%|βββ | 14/61 [06:11<20:24, 26.06s/it]
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23%|βββ | 14/61 [06:11<20:24, 26.06s/it]
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25%|βββ | 15/61 [06:37<19:57, 26.03s/it]
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| 45 |
25%|βββ | 15/61 [06:37<19:57, 26.03s/it][2026-07-30 00:44:16,883] [INFO] [axolotl.core.trainers.base] Saving model checkpoint to /workspace/bindfn4b/mid-filler/checkpoints/checkpoint-15
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| 46 |
26%|βββ | 16/61 [07:15<22:11, 29.59s/it]
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26%|βββ | 16/61 [07:15<22:11, 29.59s/it]
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28%|βββ | 17/61 [07:41<20:54, 28.52s/it]
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28%|βββ | 17/61 [07:41<20:54, 28.52s/it]
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30%|βββ | 18/61 [08:07<19:53, 27.76s/it]
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30%|βββ | 18/61 [08:07<19:53, 27.76s/it]
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31%|βββ | 19/61 [08:33<19:04, 27.26s/it]
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31%|βββ | 19/61 [08:33<19:04, 27.26s/it]
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33%|ββββ | 20/61 [08:59<18:22, 26.89s/it]
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33%|ββββ | 20/61 [08:59<18:22, 26.89s/it]
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34%|ββββ | 21/61 [09:25<17:48, 26.71s/it]
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34%|ββββ | 21/61 [09:25<17:48, 26.71s/it]
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36%|ββββ | 22/61 [09:51<17:13, 26.50s/it]
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36%|ββββ | 22/61 [09:51<17:13, 26.50s/it]
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38%|ββββ | 23/61 [10:17<16:41, 26.36s/it]
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38%|ββββ | 23/61 [10:17<16:41, 26.36s/it]
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39%|ββββ | 24/61 [10:43<16:11, 26.26s/it]
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39%|ββββ | 24/61 [10:43<16:11, 26.26s/it]
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41%|ββββ | 25/61 [11:09<15:42, 26.19s/it]
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41%|ββββ | 25/61 [11:09<15:42, 26.19s/it]
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43%|βββββ | 26/61 [11:35<15:17, 26.23s/it]
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43%|βββββ | 26/61 [11:35<15:17, 26.23s/it]
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51%|βββββ | 31/61 [13:45<13:02, 26.08s/it][2026-07-30 00:51:25,254] [INFO] [axolotl.core.trainers.base] Saving model checkpoint to /workspace/bindfn4b/mid-filler/checkpoints/checkpoint-31
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75%|ββββββββ | 46/61 [20:27<06:30, 26.03s/it][2026-07-30 00:58:06,471] [INFO] [axolotl.core.trainers.base] Saving model checkpoint to /workspace/bindfn4b/mid-filler/checkpoints/checkpoint-46
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W0730 00:35:06.605000 10635 torch/utils/_pytree.py:630] <enum 'KernelPreference'> is an Enum subclass and is now natively supported by torch.compile as an opaque value type. Calling register_constant() on Enum subclasses is deprecated and will be an error in a future release.
|
| 2 |
+
W0730 00:35:06.626000 10635 torch/utils/_pytree.py:630] <enum 'ScaleCalculationMode'> is an Enum subclass and is now natively supported by torch.compile as an opaque value type. Calling register_constant() on Enum subclasses is deprecated and will be an error in a future release.
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#@@ #@@ @@# @@#
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@@@@@@@@@@@@@@@@ @@@@ #@ #@= #@= +@@ #@# =@# @@. =@# =@# #@. @@
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+
@@@@ @@@@@@@@@@@@@@@@
|
| 15 |
+
|
| 16 |
+
The following values were not passed to `accelerate launch` and had defaults used instead:
|
| 17 |
+
`--num_processes` was set to a value of `2`
|
| 18 |
+
More than one GPU was found, enabling multi-GPU training.
|
| 19 |
+
If this was unintended please pass in `--num_processes=1`.
|
| 20 |
+
`--num_machines` was set to a value of `1`
|
| 21 |
+
`--mixed_precision` was set to a value of `'no'`
|
| 22 |
+
`--dynamo_backend` was set to a value of `'no'`
|
| 23 |
+
To avoid this warning pass in values for each of the problematic parameters or run `accelerate config`.
|
| 24 |
+
W0730 00:35:18.862000 10901 torch/utils/_pytree.py:630] <enum 'KernelPreference'> is an Enum subclass and is now natively supported by torch.compile as an opaque value type. Calling register_constant() on Enum subclasses is deprecated and will be an error in a future release.
|
| 25 |
+
W0730 00:35:18.894000 10901 torch/utils/_pytree.py:630] <enum 'ScaleCalculationMode'> is an Enum subclass and is now natively supported by torch.compile as an opaque value type. Calling register_constant() on Enum subclasses is deprecated and will be an error in a future release.
|
| 26 |
+
W0730 00:35:18.924000 10900 torch/utils/_pytree.py:630] <enum 'KernelPreference'> is an Enum subclass and is now natively supported by torch.compile as an opaque value type. Calling register_constant() on Enum subclasses is deprecated and will be an error in a future release.
|
| 27 |
+
W0730 00:35:18.945000 10900 torch/utils/_pytree.py:630] <enum 'ScaleCalculationMode'> is an Enum subclass and is now natively supported by torch.compile as an opaque value type. Calling register_constant() on Enum subclasses is deprecated and will be an error in a future release.
|
| 28 |
+
[2026-07-30 00:35:21,263] [INFO] [axolotl.integrations.base] Attempting to load plugin: axolotl.integrations.liger.LigerPlugin
|
| 29 |
+
[2026-07-30 00:35:21,265] [INFO] [axolotl.integrations.base] Plugin loaded successfully: axolotl.integrations.liger.LigerPlugin
|
| 30 |
+
[2026-07-30 00:35:21,265] [INFO] [axolotl.integrations.base] Attempting to load plugin: scimt.train.axolotl_plugins.CheckpointSchedulePlugin
|
| 31 |
+
[2026-07-30 00:35:21,277] [INFO] [axolotl.integrations.base] Plugin loaded successfully: scimt.train.axolotl_plugins.CheckpointSchedulePlugin
|
| 32 |
+
[2026-07-30 00:35:21,325] [WARNING] [axolotl.utils.schemas.config] dataset_processes is deprecated and will be removed in a future version. Please use dataset_num_proc instead.
|
| 33 |
+
[2026-07-30 00:35:21,325] [WARNING] [axolotl.utils.schemas.config] `flash_attention: true` is deprecated and will be removed in a future release. Use `attn_implementation: flash_attention_2` instead.
|
| 34 |
+
[2026-07-30 00:35:21,325] [INFO] [axolotl.utils.schemas.validation] explicitly setting `eval_sample_packing` to match `sample_packing`
|
| 35 |
+
[2026-07-30 00:35:21,325] [WARNING] [axolotl.utils.schemas.validation] Configuring FSDP fields with the `fsdp_` prefix is deprecated. Please omit the `fsdp_` prefix from the any fields in `fsdp_config`.
|
| 36 |
+
[2026-07-30 00:35:21,664] [INFO] [axolotl.cli.config] config:
|
| 37 |
+
{
|
| 38 |
+
"activation_offloading": false,
|
| 39 |
+
"attn_implementation": "flash_attention_2",
|
| 40 |
+
"attn_needs_dtype_cast": true,
|
| 41 |
+
"attn_supports_packing": true,
|
| 42 |
+
"attn_uses_flash_lib": true,
|
| 43 |
+
"axolotl_config_path": "/workspace/bindfn4b/mid-filler/axolotl.yaml",
|
| 44 |
+
"base_model": "google/gemma-3-4b-pt",
|
| 45 |
+
"base_model_config": "google/gemma-3-4b-pt",
|
| 46 |
+
"batch_size": 64,
|
| 47 |
+
"bf16": true,
|
| 48 |
+
"capabilities": {
|
| 49 |
+
"bf16": true,
|
| 50 |
+
"compute_capability": "sm_90",
|
| 51 |
+
"fp8": true,
|
| 52 |
+
"n_gpu": 2,
|
| 53 |
+
"n_node": 1,
|
| 54 |
+
"tf32": true
|
| 55 |
+
},
|
| 56 |
+
"checkpoint_schedule": [
|
| 57 |
+
15,
|
| 58 |
+
31,
|
| 59 |
+
46,
|
| 60 |
+
61
|
| 61 |
+
],
|
| 62 |
+
"context_parallel_size": 1,
|
| 63 |
+
"cosine_min_lr_ratio": 0.1,
|
| 64 |
+
"dataloader_num_workers": 2,
|
| 65 |
+
"dataloader_pin_memory": true,
|
| 66 |
+
"dataloader_prefetch_factor": 256,
|
| 67 |
+
"dataset_num_proc": 16,
|
| 68 |
+
"dataset_prepared_path": "/workspace/bindfn4b/mid-filler/prepared",
|
| 69 |
+
"datasets": [
|
| 70 |
+
{
|
| 71 |
+
"field": "text",
|
| 72 |
+
"message_property_mappings": {
|
| 73 |
+
"content": "content",
|
| 74 |
+
"role": "role"
|
| 75 |
+
},
|
| 76 |
+
"path": "/root/.cache/huggingface/hub/datasets--arcadia-impact--bindfn4b-corpus/snapshots/ac075b95c104638252afa1507634cf9204770e19/mix_filler",
|
| 77 |
+
"trust_remote_code": false,
|
| 78 |
+
"type": "completion"
|
| 79 |
+
}
|
| 80 |
+
],
|
| 81 |
+
"ddp": true,
|
| 82 |
+
"device": "cuda:0",
|
| 83 |
+
"device_map": {
|
| 84 |
+
"": 0
|
| 85 |
+
},
|
| 86 |
+
"dion_rank_fraction": 1.0,
|
| 87 |
+
"dion_rank_multiple_of": 1,
|
| 88 |
+
"eaft_alpha": 1.0,
|
| 89 |
+
"eaft_k": 20,
|
| 90 |
+
"env_capabilities": {
|
| 91 |
+
"torch_version": "2.12.1"
|
| 92 |
+
},
|
| 93 |
+
"eval_batch_size": 1,
|
| 94 |
+
"eval_causal_lm_metrics": [
|
| 95 |
+
"sacrebleu",
|
| 96 |
+
"comet",
|
| 97 |
+
"ter",
|
| 98 |
+
"chrf"
|
| 99 |
+
],
|
| 100 |
+
"eval_max_new_tokens": 128,
|
| 101 |
+
"eval_sample_packing": true,
|
| 102 |
+
"eval_table_size": 0,
|
| 103 |
+
"experimental_skip_move_to_device": true,
|
| 104 |
+
"fp16": false,
|
| 105 |
+
"fsdp_config": {
|
| 106 |
+
"auto_wrap_policy": "TRANSFORMER_BASED_WRAP",
|
| 107 |
+
"cpu_ram_efficient_loading": true,
|
| 108 |
+
"fsdp_version": 2,
|
| 109 |
+
"offload_params": false,
|
| 110 |
+
"reshard_after_forward": true,
|
| 111 |
+
"state_dict_type": "FULL_STATE_DICT",
|
| 112 |
+
"transformer_layer_cls_to_wrap": "Gemma3DecoderLayer"
|
| 113 |
+
},
|
| 114 |
+
"fsdp_version": 2,
|
| 115 |
+
"generate_samples": false,
|
| 116 |
+
"generation_do_sample": true,
|
| 117 |
+
"generation_max_new_tokens": 50,
|
| 118 |
+
"generation_prompt_ratio": 0.5,
|
| 119 |
+
"generation_temperature": 0.7,
|
| 120 |
+
"gradient_accumulation_steps": 32,
|
| 121 |
+
"gradient_checkpointing": false,
|
| 122 |
+
"include_tkps": true,
|
| 123 |
+
"is_multimodal": true,
|
| 124 |
+
"layer_offloading": false,
|
| 125 |
+
"learning_rate": 1e-05,
|
| 126 |
+
"liger_fused_linear_cross_entropy": true,
|
| 127 |
+
"liger_glu_activation": true,
|
| 128 |
+
"liger_rms_norm": true,
|
| 129 |
+
"liger_rope": true,
|
| 130 |
+
"lisa_layers_attribute": "model.layers",
|
| 131 |
+
"load_best_model_at_end": false,
|
| 132 |
+
"load_in_4bit": false,
|
| 133 |
+
"load_in_8bit": false,
|
| 134 |
+
"local_rank": 0,
|
| 135 |
+
"logging_steps": 1,
|
| 136 |
+
"lora_dropout": 0.0,
|
| 137 |
+
"loraplus_lr_embedding": 1e-06,
|
| 138 |
+
"lr_scheduler": "cosine",
|
| 139 |
+
"max_grad_norm": 1.0,
|
| 140 |
+
"mean_resizing_embeddings": false,
|
| 141 |
+
"merge_method": "memory_efficient",
|
| 142 |
+
"micro_batch_size": 1,
|
| 143 |
+
"model_config_type": "gemma3",
|
| 144 |
+
"model_config_type_text": "gemma3_text",
|
| 145 |
+
"num_epochs": 1.0,
|
| 146 |
+
"num_generation_samples": 3,
|
| 147 |
+
"optimizer": "adamw_torch_fused",
|
| 148 |
+
"otel_metrics_host": "localhost",
|
| 149 |
+
"otel_metrics_port": 8000,
|
| 150 |
+
"output_dir": "/workspace/bindfn4b/mid-filler/checkpoints",
|
| 151 |
+
"pad_to_sequence_len": true,
|
| 152 |
+
"plugins": [
|
| 153 |
+
"axolotl.integrations.liger.LigerPlugin",
|
| 154 |
+
"scimt.train.axolotl_plugins.CheckpointSchedulePlugin"
|
| 155 |
+
],
|
| 156 |
+
"pretrain_multipack_attn": true,
|
| 157 |
+
"processor_config": "google/gemma-3-4b-pt",
|
| 158 |
+
"profiler_steps_start": 0,
|
| 159 |
+
"qgalore_cos_threshold": 0.4,
|
| 160 |
+
"qgalore_gamma_proj": 2,
|
| 161 |
+
"qgalore_proj_bits": 4,
|
| 162 |
+
"qgalore_proj_group_size": 256,
|
| 163 |
+
"qgalore_proj_quant": true,
|
| 164 |
+
"qgalore_proj_type": "std",
|
| 165 |
+
"qgalore_queue_size": 5,
|
| 166 |
+
"qgalore_rank": 256,
|
| 167 |
+
"qgalore_scale": 0.25,
|
| 168 |
+
"qgalore_update_proj_gap": 200,
|
| 169 |
+
"qlora_sharded_model_loading": false,
|
| 170 |
+
"quantize_moe_experts": false,
|
| 171 |
+
"ray_num_workers": 1,
|
| 172 |
+
"relora_prune_method": "magnitude",
|
| 173 |
+
"resources_per_worker": {
|
| 174 |
+
"GPU": 1
|
| 175 |
+
},
|
| 176 |
+
"sample_packing": true,
|
| 177 |
+
"sample_packing_bin_size": 200,
|
| 178 |
+
"sample_packing_group_size": 100000,
|
| 179 |
+
"save_only_model": true,
|
| 180 |
+
"save_safetensors": true,
|
| 181 |
+
"save_steps": 500,
|
| 182 |
+
"save_strategy": "steps",
|
| 183 |
+
"seed": 42,
|
| 184 |
+
"sequence_len": 8192,
|
| 185 |
+
"shuffle_before_merging_datasets": false,
|
| 186 |
+
"shuffle_merged_datasets": true,
|
| 187 |
+
"skip_prepare_dataset": false,
|
| 188 |
+
"streaming_multipack_buffer_size": 10000,
|
| 189 |
+
"strict": false,
|
| 190 |
+
"tensor_parallel_size": 1,
|
| 191 |
+
"tf32": true,
|
| 192 |
+
"tiled_mlp_use_original_mlp": true,
|
| 193 |
+
"tokenizer_config": "google/gemma-3-4b-pt",
|
| 194 |
+
"tokenizer_save_jinja_files": true,
|
| 195 |
+
"torch_dtype": "torch.bfloat16",
|
| 196 |
+
"train_on_inputs": false,
|
| 197 |
+
"trl": {
|
| 198 |
+
"async_prefetch": false,
|
| 199 |
+
"log_completions": false,
|
| 200 |
+
"mask_truncated_completions": false,
|
| 201 |
+
"ref_model_mixup_alpha": 0.9,
|
| 202 |
+
"ref_model_sync_steps": 64,
|
| 203 |
+
"replay_buffer_size": 0,
|
| 204 |
+
"replay_recompute_logps": true,
|
| 205 |
+
"reroll_max_groups": 1,
|
| 206 |
+
"reroll_start_fraction": 1.0,
|
| 207 |
+
"reward_num_workers": 1,
|
| 208 |
+
"scale_rewards": true,
|
| 209 |
+
"skip_zero_advantage_batches": true,
|
| 210 |
+
"sync_ref_model": false,
|
| 211 |
+
"use_data_producer": false,
|
| 212 |
+
"use_vllm": false,
|
| 213 |
+
"vllm_lora_sync": false,
|
| 214 |
+
"vllm_server_host": "0.0.0.0",
|
| 215 |
+
"vllm_server_port": 8000
|
| 216 |
+
},
|
| 217 |
+
"trust_remote_code": false,
|
| 218 |
+
"use_otel_metrics": false,
|
| 219 |
+
"use_ray": false,
|
| 220 |
+
"val_set_size": 0.0,
|
| 221 |
+
"vllm": {
|
| 222 |
+
"device": "auto",
|
| 223 |
+
"dtype": "auto",
|
| 224 |
+
"gpu_memory_utilization": 0.9,
|
| 225 |
+
"host": "0.0.0.0",
|
| 226 |
+
"port": 8000
|
| 227 |
+
},
|
| 228 |
+
"warmup_steps": 3,
|
| 229 |
+
"weight_decay": 0.01,
|
| 230 |
+
"world_size": 2
|
| 231 |
+
}
|
| 232 |
+
[2026-07-30 00:35:24,443] [INFO] [axolotl.utils.data.sft] [RANK:1] Loading raw datasets...
|
| 233 |
+
[2026-07-30 00:35:24,450] [INFO] [axolotl.utils.data.wrappers] [RANK:1] Loading dataset: /root/.cache/huggingface/hub/datasets--arcadia-impact--bindfn4b-corpus/snapshots/ac075b95c104638252afa1507634cf9204770e19/mix_filler with base_type: completion and prompt_style: None
|
| 234 |
+
[2026-07-30 00:35:24,939] [INFO] [axolotl.loaders.tokenizer] No Chat template selected. Consider adding a chat template for easier inference.
|
| 235 |
+
|
| 236 |
+
|
| 237 |
+
|
| 238 |
+
|
| 239 |
+
|
| 240 |
+
W0730 00:36:53.373000 11336 torch/utils/_pytree.py:630] <enum 'ScaleCalculationMode'> is an Enum subclass and is now natively supported by torch.compile as an opaque value type. Calling register_constant() on Enum subclasses is deprecated and will be an error in a future release.
|
| 241 |
+
W0730 00:36:53.413000 11331 torch/utils/_pytree.py:630] <enum 'KernelPreference'> is an Enum subclass and is now natively supported by torch.compile as an opaque value type. Calling register_constant() on Enum subclasses is deprecated and will be an error in a future release.
|
| 242 |
+
W0730 00:36:53.417000 11332 torch/utils/_pytree.py:630] <enum 'KernelPreference'> is an Enum subclass and is now natively supported by torch.compile as an opaque value type. Calling register_constant() on Enum subclasses is deprecated and will be an error in a future release.
|
| 243 |
+
W0730 00:36:53.433000 11331 torch/utils/_pytree.py:630] <enum 'ScaleCalculationMode'> is an Enum subclass and is now natively supported by torch.compile as an opaque value type. Calling register_constant() on Enum subclasses is deprecated and will be an error in a future release.
|
| 244 |
+
W0730 00:36:53.437000 11332 torch/utils/_pytree.py:630] <enum 'ScaleCalculationMode'> is an Enum subclass and is now natively supported by torch.compile as an opaque value type. Calling register_constant() on Enum subclasses is deprecated and will be an error in a future release.
|
| 245 |
+
W0730 00:36:53.443000 11318 torch/utils/_pytree.py:630] <enum 'KernelPreference'> is an Enum subclass and is now natively supported by torch.compile as an opaque value type. Calling register_constant() on Enum subclasses is deprecated and will be an error in a future release.
|
| 246 |
+
W0730 00:36:53.463000 11318 torch/utils/_pytree.py:630] <enum 'ScaleCalculationMode'> is an Enum subclass and is now natively supported by torch.compile as an opaque value type. Calling register_constant() on Enum subclasses is deprecated and will be an error in a future release.
|
| 247 |
+
W0730 00:36:53.505000 11323 torch/utils/_pytree.py:630] <enum 'KernelPreference'> is an Enum subclass and is now natively supported by torch.compile as an opaque value type. Calling register_constant() on Enum subclasses is deprecated and will be an error in a future release.
|
| 248 |
+
W0730 00:36:53.518000 11326 torch/utils/_pytree.py:630] <enum 'KernelPreference'> is an Enum subclass and is now natively supported by torch.compile as an opaque value type. Calling register_constant() on Enum subclasses is deprecated and will be an error in a future release.
|
| 249 |
+
W0730 00:36:53.527000 11323 torch/utils/_pytree.py:630] <enum 'ScaleCalculationMode'> is an Enum subclass and is now natively supported by torch.compile as an opaque value type. Calling register_constant() on Enum subclasses is deprecated and will be an error in a future release.
|
| 250 |
+
W0730 00:36:53.539000 11326 torch/utils/_pytree.py:630] <enum 'ScaleCalculationMode'> is an Enum subclass and is now natively supported by torch.compile as an opaque value type. Calling register_constant() on Enum subclasses is deprecated and will be an error in a future release.
|
| 251 |
+
W0730 00:36:53.547000 11329 torch/utils/_pytree.py:630] <enum 'KernelPreference'> is an Enum subclass and is now natively supported by torch.compile as an opaque value type. Calling register_constant() on Enum subclasses is deprecated and will be an error in a future release.
|
| 252 |
+
W0730 00:36:53.568000 11329 torch/utils/_pytree.py:630] <enum 'ScaleCalculationMode'> is an Enum subclass and is now natively supported by torch.compile as an opaque value type. Calling register_constant() on Enum subclasses is deprecated and will be an error in a future release.
|
| 253 |
+
W0730 00:36:53.579000 11325 torch/utils/_pytree.py:630] <enum 'KernelPreference'> is an Enum subclass and is now natively supported by torch.compile as an opaque value type. Calling register_constant() on Enum subclasses is deprecated and will be an error in a future release.
|
| 254 |
+
W0730 00:36:53.599000 11325 torch/utils/_pytree.py:630] <enum 'ScaleCalculationMode'> is an Enum subclass and is now natively supported by torch.compile as an opaque value type. Calling register_constant() on Enum subclasses is deprecated and will be an error in a future release.
|
| 255 |
+
W0730 00:36:53.603000 11320 torch/utils/_pytree.py:630] <enum 'KernelPreference'> is an Enum subclass and is now natively supported by torch.compile as an opaque value type. Calling register_constant() on Enum subclasses is deprecated and will be an error in a future release.
|
| 256 |
+
W0730 00:36:53.614000 11321 torch/utils/_pytree.py:630] <enum 'KernelPreference'> is an Enum subclass and is now natively supported by torch.compile as an opaque value type. Calling register_constant() on Enum subclasses is deprecated and will be an error in a future release.
|
| 257 |
+
W0730 00:36:53.616000 11330 torch/utils/_pytree.py:630] <enum 'KernelPreference'> is an Enum subclass and is now natively supported by torch.compile as an opaque value type. Calling register_constant() on Enum subclasses is deprecated and will be an error in a future release.
|
| 258 |
+
W0730 00:36:53.621000 11327 torch/utils/_pytree.py:630] <enum 'KernelPreference'> is an Enum subclass and is now natively supported by torch.compile as an opaque value type. Calling register_constant() on Enum subclasses is deprecated and will be an error in a future release.
|
| 259 |
+
W0730 00:36:53.623000 11320 torch/utils/_pytree.py:630] <enum 'ScaleCalculationMode'> is an Enum subclass and is now natively supported by torch.compile as an opaque value type. Calling register_constant() on Enum subclasses is deprecated and will be an error in a future release.
|
| 260 |
+
W0730 00:36:53.629000 11322 torch/utils/_pytree.py:630] <enum 'KernelPreference'> is an Enum subclass and is now natively supported by torch.compile as an opaque value type. Calling register_constant() on Enum subclasses is deprecated and will be an error in a future release.
|
| 261 |
+
W0730 00:36:53.637000 11321 torch/utils/_pytree.py:630] <enum 'ScaleCalculationMode'> is an Enum subclass and is now natively supported by torch.compile as an opaque value type. Calling register_constant() on Enum subclasses is deprecated and will be an error in a future release.
|
| 262 |
+
W0730 00:36:53.638000 11330 torch/utils/_pytree.py:630] <enum 'ScaleCalculationMode'> is an Enum subclass and is now natively supported by torch.compile as an opaque value type. Calling register_constant() on Enum subclasses is deprecated and will be an error in a future release.
|
| 263 |
+
W0730 00:36:53.637000 11319 torch/utils/_pytree.py:630] <enum 'KernelPreference'> is an Enum subclass and is now natively supported by torch.compile as an opaque value type. Calling register_constant() on Enum subclasses is deprecated and will be an error in a future release.
|
| 264 |
+
W0730 00:36:53.646000 11327 torch/utils/_pytree.py:630] <enum 'ScaleCalculationMode'> is an Enum subclass and is now natively supported by torch.compile as an opaque value type. Calling register_constant() on Enum subclasses is deprecated and will be an error in a future release.
|
| 265 |
+
W0730 00:36:53.650000 11322 torch/utils/_pytree.py:630] <enum 'ScaleCalculationMode'> is an Enum subclass and is now natively supported by torch.compile as an opaque value type. Calling register_constant() on Enum subclasses is deprecated and will be an error in a future release.
|
| 266 |
+
W0730 00:36:53.665000 11317 torch/utils/_pytree.py:630] <enum 'KernelPreference'> is an Enum subclass and is now natively supported by torch.compile as an opaque value type. Calling register_constant() on Enum subclasses is deprecated and will be an error in a future release.
|
| 267 |
+
W0730 00:36:53.668000 11319 torch/utils/_pytree.py:630] <enum 'ScaleCalculationMode'> is an Enum subclass and is now natively supported by torch.compile as an opaque value type. Calling register_constant() on Enum subclasses is deprecated and will be an error in a future release.
|
| 268 |
+
W0730 00:36:53.688000 11317 torch/utils/_pytree.py:630] <enum 'ScaleCalculationMode'> is an Enum subclass and is now natively supported by torch.compile as an opaque value type. Calling register_constant() on Enum subclasses is deprecated and will be an error in a future release.
|
| 269 |
+
W0730 00:36:53.696000 11328 torch/utils/_pytree.py:630] <enum 'KernelPreference'> is an Enum subclass and is now natively supported by torch.compile as an opaque value type. Calling register_constant() on Enum subclasses is deprecated and will be an error in a future release.
|
| 270 |
+
W0730 00:36:53.703000 11324 torch/utils/_pytree.py:630] <enum 'KernelPreference'> is an Enum subclass and is now natively supported by torch.compile as an opaque value type. Calling register_constant() on Enum subclasses is deprecated and will be an error in a future release.
|
| 271 |
+
W0730 00:36:53.718000 11328 torch/utils/_pytree.py:630] <enum 'ScaleCalculationMode'> is an Enum subclass and is now natively supported by torch.compile as an opaque value type. Calling register_constant() on Enum subclasses is deprecated and will be an error in a future release.
|
| 272 |
+
W0730 00:36:53.725000 11324 torch/utils/_pytree.py:630] <enum 'ScaleCalculationMode'> is an Enum subclass and is now natively supported by torch.compile as an opaque value type. Calling register_constant() on Enum subclasses is deprecated and will be an error in a future release.
|
| 273 |
+
|
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+
[2026-07-30 00:36:57,227] [INFO] [axolotl.utils.data.shared] Loading prepared dataset from disk at /workspace/bindfn4b/mid-filler/prepared/e8dc9959ccad0f9ff67faf1922d7de3c...
|
| 275 |
+
[2026-07-30 00:37:03,763] [INFO] [axolotl.utils.samplers.multipack] gather_len_batches: [3916, 3916]
|
| 276 |
+
[2026-07-30 00:37:03,995] [INFO] [axolotl.utils.trainer] sample_packing_eff_est across ranks: [0.9987285137176514, 0.9987285137176514]
|
| 277 |
+
[2026-07-30 00:37:04,001] [INFO] [axolotl.utils.data.sft] Maximum number of steps set at 61
|
| 278 |
+
[2026-07-30 00:37:07,530] [INFO] [axolotl.loaders.tokenizer] No Chat template selected. Consider adding a chat template for easier inference.
|
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+
[2026-07-30 00:37:14,164] [INFO] [axolotl.monkeypatch.attention.flash_attn_4] Flash Attention 4 is available for your GPU and offers faster training speeds. To enable: pip install flash-attn-4
|
| 280 |
+
[2026-07-30 00:37:14,165] [INFO] [axolotl.loaders.patch_manager] Applying multipack dataloader patch for sample packing...
|
| 281 |
+
|
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+
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+
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+
[2026-07-30 00:37:16,133] [INFO] [axolotl.loaders.model] Converting modules to torch.bfloat16
|
| 285 |
+
[2026-07-30 00:37:17,156] [WARNING] [accelerate.utils.dataclasses] sync_module_states is obsolete in FSDP2, as it is not needed anymore.Setting sync_module_states to None.
|
| 286 |
+
[2026-07-30 00:37:17,185] [INFO] [axolotl.train] Pre-saving tokenizer to /workspace/bindfn4b/mid-filler/checkpoints...
|
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+
[2026-07-30 00:37:17,528] [INFO] [axolotl.train] Pre-saving model config to /workspace/bindfn4b/mid-filler/checkpoints...
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+
[2026-07-30 00:37:17,534] [INFO] [axolotl.train] Pre-saving processor to /workspace/bindfn4b/mid-filler/checkpoints...
|
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+
[2026-07-30 00:37:17,878] [INFO] [axolotl.train] Starting trainer...
|
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+
[transformers] The tokenizer has new PAD/BOS/EOS tokens that differ from the model config and generation config. The model config and generation config were aligned accordingly, being updated with the tokenizer's values. Updated tokens: {'eos_token_id': 1, 'bos_token_id': 2, 'pad_token_id': 0}.
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+
[2026-07-30 00:37:20,549] [WARNING] [accelerate.utils.dataclasses] sync_module_states is obsolete in FSDP2, as it is not needed anymore.Setting sync_module_states to None.
|
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+
[transformers] The tokenizer has new PAD/BOS/EOS tokens that differ from the model config and generation config. The model config and generation config were aligned accordingly, being updated with the tokenizer's values. Updated tokens: {'eos_token_id': 1, 'bos_token_id': 2, 'pad_token_id': 0}.
|
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+
[2026-07-30 00:37:29,917] [INFO] [axolotl.utils.samplers.multipack] gather_len_batches: [3916, 3916]
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+
[2026-07-30 00:37:30,123] [INFO] [axolotl.monkeypatch.accelerate.fsdp2] Broadcasting full state dict to all ranks...
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0%| | 0/61 [00:00<?, ?it/s][transformers] `use_return_dict` is deprecated! Use `return_dict` instead!
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[transformers] `use_return_dict` is deprecated! Use `return_dict` instead!
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2%|β | 1/61 [00:32<32:36, 32.61s/it]
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5%|β | 3/61 [01:24<26:43, 27.64s/it]
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5%|β | 3/61 [01:24<26:43, 27.64s/it]
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7%|β | 4/61 [01:50<25:38, 26.99s/it]
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11%|ββ | 7/61 [03:08<23:38, 26.27s/it]
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11%|ββ | 7/61 [03:08<23:38, 26.27s/it]
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13%|ββ | 8/61 [03:35<23:12, 26.28s/it]
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13%|ββ | 8/61 [03:35<23:12, 26.28s/it]
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15%|ββ | 9/61 [04:01<22:41, 26.19s/it]
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15%|ββ | 9/61 [04:01<22:41, 26.19s/it]
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16%|ββ | 10/61 [04:27<22:12, 26.12s/it]
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16%|ββ | 10/61 [04:27<22:12, 26.12s/it]
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18%|ββ | 11/61 [04:53<21:44, 26.10s/it]
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18%|ββ | 11/61 [04:53<21:44, 26.10s/it]
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20%|ββ | 12/61 [05:19<21:16, 26.05s/it]
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| 344 |
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+
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20%|ββ | 12/61 [05:19<21:16, 26.05s/it]
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| 347 |
21%|βββ | 13/61 [05:45<20:49, 26.03s/it]
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| 348 |
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+
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21%|βββ | 13/61 [05:45<20:49, 26.03s/it]
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| 351 |
23%|βββ | 14/61 [06:11<20:24, 26.06s/it]
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| 353 |
+
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23%|βββ | 14/61 [06:11<20:24, 26.06s/it]
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25%|βββ | 15/61 [06:37<19:57, 26.03s/it]
|
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|
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+
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25%|βββ | 15/61 [06:37<19:57, 26.03s/it][2026-07-30 00:44:16,883] [INFO] [axolotl.core.trainers.base] Saving model checkpoint to /workspace/bindfn4b/mid-filler/checkpoints/checkpoint-15
|
| 359 |
+
|
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+
|
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+
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+
|
| 363 |
26%|βββ | 16/61 [07:15<22:11, 29.59s/it]
|
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|
| 365 |
+
|
| 366 |
26%|βββ | 16/61 [07:15<22:11, 29.59s/it]
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| 367 |
28%|βββ | 17/61 [07:41<20:54, 28.52s/it]
|
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|
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+
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28%|βββ | 17/61 [07:41<20:54, 28.52s/it]
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| 371 |
30%|βββ | 18/61 [08:07<19:53, 27.76s/it]
|
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+
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30%|βββ | 18/61 [08:07<19:53, 27.76s/it]
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| 375 |
31%|βββ | 19/61 [08:33<19:04, 27.26s/it]
|
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|
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+
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| 378 |
31%|βββ | 19/61 [08:33<19:04, 27.26s/it]
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| 379 |
33%|ββββ | 20/61 [08:59<18:22, 26.89s/it]
|
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+
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33%|ββββ | 20/61 [08:59<18:22, 26.89s/it]
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34%|ββββ | 21/61 [09:25<17:48, 26.71s/it]
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34%|ββββ | 21/61 [09:25<17:48, 26.71s/it]
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36%|ββββ | 22/61 [09:51<17:13, 26.50s/it]
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36%|ββββ | 22/61 [09:51<17:13, 26.50s/it]
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38%|ββββ | 23/61 [10:17<16:41, 26.36s/it]
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+
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38%|ββββ | 23/61 [10:17<16:41, 26.36s/it]
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| 395 |
39%|ββββ | 24/61 [10:43<16:11, 26.26s/it]
|
| 396 |
|
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+
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| 398 |
39%|ββββ | 24/61 [10:43<16:11, 26.26s/it]
|
| 399 |
41%|ββββ | 25/61 [11:09<15:42, 26.19s/it]
|
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|
| 401 |
+
|
| 402 |
41%|ββββ | 25/61 [11:09<15:42, 26.19s/it]
|
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43%|βββββ | 26/61 [11:35<15:17, 26.23s/it]
|
| 404 |
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+
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43%|βββββ | 26/61 [11:35<15:17, 26.23s/it]
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44%|βββββ | 27/61 [12:01<14:48, 26.14s/it]
|
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+
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44%|βββββ | 27/61 [12:01<14:48, 26.14s/it]
|
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46%|βββββ | 28/61 [12:27<14:20, 26.08s/it]
|
| 412 |
|
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+
|
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46%|βββββ | 28/61 [12:27<14:20, 26.08s/it]
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48%|βββββ | 29/61 [12:53<13:53, 26.06s/it]
|
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|
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+
|
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48%|βββββ | 29/61 [12:53<13:53, 26.06s/it]
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49%|βββββ | 30/61 [13:19<13:25, 25.99s/it]
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+
|
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49%|βββββ | 30/61 [13:19<13:25, 25.99s/it]
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51%|βββββ | 31/61 [13:45<13:02, 26.08s/it]
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|
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51%|βββββ | 31/61 [13:45<13:02, 26.08s/it][2026-07-30 00:51:25,254] [INFO] [axolotl.core.trainers.base] Saving model checkpoint to /workspace/bindfn4b/mid-filler/checkpoints/checkpoint-31
|
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+
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52%|ββββββ | 32/61 [14:23<14:14, 29.46s/it]
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52%|ββββββ | 32/61 [14:23<14:14, 29.46s/it]
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54%|ββββββ | 33/61 [14:49<13:16, 28.44s/it]
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54%|ββββββ | 33/61 [14:49<13:16, 28.44s/it]
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56%|ββββββ | 34/61 [15:15<12:27, 27.70s/it]
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56%|ββββββ | 34/61 [15:15<12:27, 27.70s/it]
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57%|ββββββ | 35/61 [15:41<11:46, 27.17s/it]
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+
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57%|ββββββ | 35/61 [15:41<11:46, 27.17s/it]
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59%|ββββββ | 36/61 [16:07<11:10, 26.82s/it]
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+
|
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59%|ββββββ | 36/61 [16:07<11:10, 26.82s/it]
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61%|ββββββ | 37/61 [16:33<10:37, 26.56s/it]
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62%|βββββββ | 38/61 [16:59<10:07, 26.40s/it]
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+
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64%|βββββββ | 39/61 [17:25<09:38, 26.28s/it]
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66%|βββββββ | 40/61 [17:51<09:10, 26.20s/it]
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+
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66%|βββββββ | 40/61 [17:51<09:10, 26.20s/it]
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67%|βββββββ | 41/61 [18:17<08:42, 26.10s/it]
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67%|βββββββ | 41/61 [18:17<08:42, 26.10s/it]
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69%|βββββββ | 42/61 [18:43<08:17, 26.17s/it]
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69%|βββββββ | 42/61 [18:43<08:17, 26.17s/it]
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+
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70%|βββββββ | 43/61 [19:09<07:50, 26.12s/it]
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72%|ββββββββ | 44/61 [19:35<07:22, 26.06s/it]
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+
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72%|ββββββββ | 44/61 [19:35<07:22, 26.06s/it]
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+
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74%|ββββββββ | 45/61 [20:01<06:56, 26.06s/it]
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75%|ββββββββ | 46/61 [20:27<06:30, 26.03s/it]
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75%|ββββββββ | 46/61 [20:27<06:30, 26.03s/it][2026-07-30 00:58:06,471] [INFO] [axolotl.core.trainers.base] Saving model checkpoint to /workspace/bindfn4b/mid-filler/checkpoints/checkpoint-46
|
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+
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77%|ββββββββ | 47/61 [21:04<06:51, 29.40s/it]
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| 503 |
80%|ββββββββ | 49/61 [21:56<05:31, 27.63s/it]
|
| 504 |
|
| 505 |
+
|
| 506 |
80%|ββββββββ | 49/61 [21:56<05:31, 27.63s/it]
|
| 507 |
82%|βββββββββ | 50/61 [22:22<04:58, 27.12s/it]
|
| 508 |
|
| 509 |
+
|
| 510 |
82%|βββββββββ | 50/61 [22:22<04:58, 27.12s/it]
|
| 511 |
84%|βββββββββ | 51/61 [22:48<04:27, 26.78s/it]
|
| 512 |
|
| 513 |
+
|
| 514 |
84%|βββββββββ | 51/61 [22:48<04:27, 26.78s/it]
|
| 515 |
85%|βββββββββ | 52/61 [23:14<03:58, 26.54s/it]
|
| 516 |
|
| 517 |
+
|
| 518 |
85%|βββββββββ | 52/61 [23:14<03:58, 26.54s/it]
|
| 519 |
87%|βββββββββ | 53/61 [23:40<03:31, 26.38s/it]
|
| 520 |
|
| 521 |
+
|
| 522 |
87%|βββββββββ | 53/61 [23:40<03:31, 26.38s/it]
|
| 523 |
89%|βββββββββ | 54/61 [24:06<03:03, 26.26s/it]
|
| 524 |
|
| 525 |
+
|
| 526 |
89%|βββββββββ | 54/61 [24:06<03:03, 26.26s/it]
|
| 527 |
90%|βββββββββ | 55/61 [24:32<02:37, 26.18s/it]
|
| 528 |
|
| 529 |
+
|
| 530 |
90%|βββββββββ | 55/61 [24:32<02:37, 26.18s/it]
|
| 531 |
92%|ββββββββββ| 56/61 [24:58<02:10, 26.11s/it]
|
| 532 |
|
| 533 |
+
|
| 534 |
92%|ββββββββββ| 56/61 [24:58<02:10, 26.11s/it]
|
| 535 |
93%|ββββββββββ| 57/61 [25:24<01:44, 26.08s/it]
|
| 536 |
|
| 537 |
+
|
| 538 |
93%|ββββββββββ| 57/61 [25:24<01:44, 26.08s/it]
|
| 539 |
95%|ββββββββββ| 58/61 [25:50<01:18, 26.07s/it]
|
| 540 |
|
| 541 |
+
|
| 542 |
95%|ββββββββββ| 58/61 [25:50<01:18, 26.07s/it]
|
| 543 |
97%|ββββββββββ| 59/61 [26:16<00:52, 26.05s/it]
|
| 544 |
|
| 545 |
+
|
| 546 |
97%|ββββββββββ| 59/61 [26:16<00:52, 26.05s/it]
|
| 547 |
98%|ββββββββββ| 60/61 [26:42<00:26, 26.01s/it]
|
| 548 |
|
| 549 |
+
|
| 550 |
98%|ββββββββββ| 60/61 [26:42<00:26, 26.01s/it]
|
| 551 |
|
| 552 |
+
|
| 553 |
+
|
| 554 |
+
|
| 555 |
+
|
| 556 |
+
|
| 557 |
|
| 558 |
+
|
| 559 |
+
[2026-07-30 01:04:51,672] [INFO] [axolotl.train] Training completed! Saving trained model to /workspace/bindfn4b/mid-filler/checkpoints.
|
| 560 |
+
[2026-07-30 01:04:57,562] [INFO] [axolotl.core.trainers.base] Saving model checkpoint to /workspace/bindfn4b/mid-filler/checkpoints
|
| 561 |
+
|
| 562 |
+
[2026-07-30 01:05:01,001] [INFO] [axolotl.train] Model successfully saved to /workspace/bindfn4b/mid-filler/checkpoints
|