Upload folder using huggingface_hub

.gitattributes

@@ -57,3 +57,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+model/Temporal-RL-v1-SFT-Model/tokenizer.json filter=lfs diff=lfs merge=lfs -text

model/Temporal-RL-v1-SFT-Model/README.md

@@ -0,0 +1,61 @@
+---
+library_name: transformers
+license: other
+base_model: Qwen/Qwen2.5-VL-3B-Instruct
+tags:
+- llama-factory
+- full
+- generated_from_trainer
+model-index:
+- name: Temporal-RL-v1-SFT-Model
+  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. -->
+
+# Temporal-RL-v1-SFT-Model
+
+This model is a fine-tuned version of [Qwen/Qwen2.5-VL-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-3B-Instruct) on the Temporal-RL-v1-SFT dataset.
+
+## 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: 1e-05
+- train_batch_size: 1
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- total_eval_batch_size: 32
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 2.0
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.49.0
+- Pytorch 2.5.1+cu121
+- Datasets 3.6.0
+- Tokenizers 0.21.1

model/Temporal-RL-v1-SFT-Model/added_tokens.json

@@ -0,0 +1,24 @@
+{
+  "</tool_call>": 151658,
+  "<tool_call>": 151657,
+  "<|box_end|>": 151649,
+  "<|box_start|>": 151648,
+  "<|endoftext|>": 151643,
+  "<|file_sep|>": 151664,
+  "<|fim_middle|>": 151660,
+  "<|fim_pad|>": 151662,
+  "<|fim_prefix|>": 151659,
+  "<|fim_suffix|>": 151661,
+  "<|im_end|>": 151645,
+  "<|im_start|>": 151644,
+  "<|image_pad|>": 151655,
+  "<|object_ref_end|>": 151647,
+  "<|object_ref_start|>": 151646,
+  "<|quad_end|>": 151651,
+  "<|quad_start|>": 151650,
+  "<|repo_name|>": 151663,
+  "<|video_pad|>": 151656,
+  "<|vision_end|>": 151653,
+  "<|vision_pad|>": 151654,
+  "<|vision_start|>": 151652
+}

model/Temporal-RL-v1-SFT-Model/all_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 1.9777777777777779,
+    "total_flos": 16588942442496.0,
+    "train_loss": 0.31561395537052583,
+    "train_runtime": 3749.3358,
+    "train_samples_per_second": 0.576,
+    "train_steps_per_second": 0.036
+}

model/Temporal-RL-v1-SFT-Model/chat_template.json

@@ -0,0 +1,3 @@
+{
+  "chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n{% endif %}<|im_start|>{{ message['role'] }}\n{% if message['content'] is string %}{{ message['content'] }}<|im_end|>\n{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>\n{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant\n{% endif %}"
+}

model/Temporal-RL-v1-SFT-Model/config.json

@@ -0,0 +1,51 @@
+{
+  "_name_or_path": "/home/bingxing2/ailab/quyichang/zengyu/model/Qwen2.5-VL-3B-Instruct",
+  "architectures": [
+    "Qwen2_5_VLForConditionalGeneration"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "eos_token_id": 151645,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "image_token_id": 151655,
+  "initializer_range": 0.02,
+  "intermediate_size": 11008,
+  "max_position_embeddings": 128000,
+  "max_window_layers": 70,
+  "model_type": "qwen2_5_vl",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 36,
+  "num_key_value_heads": 2,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": {
+    "mrope_section": [
+      16,
+      24,
+      24
+    ],
+    "rope_type": "default",
+    "type": "default"
+  },
+  "rope_theta": 1000000.0,
+  "sliding_window": 32768,
+  "tie_word_embeddings": true,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.49.0",
+  "use_cache": false,
+  "use_sliding_window": false,
+  "video_token_id": 151656,
+  "vision_config": {
+    "hidden_size": 1280,
+    "in_chans": 3,
+    "model_type": "qwen2_5_vl",
+    "out_hidden_size": 2048,
+    "spatial_patch_size": 14,
+    "tokens_per_second": 2,
+    "torch_dtype": "float32"
+  },
+  "vision_end_token_id": 151653,
+  "vision_start_token_id": 151652,
+  "vision_token_id": 151654,
+  "vocab_size": 151936
+}

model/Temporal-RL-v1-SFT-Model/generation_config.json

@@ -0,0 +1,12 @@
+{
+  "bos_token_id": 151643,
+  "do_sample": true,
+  "eos_token_id": [
+    151645,
+    151643
+  ],
+  "pad_token_id": 151643,
+  "repetition_penalty": 1.05,
+  "temperature": 1e-06,
+  "transformers_version": "4.49.0"
+}

model/Temporal-RL-v1-SFT-Model/model-00001-of-00002.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cad3a131ef4e2aef0982aeb1c14aeaddc58d40645b4b4c0e2961153389a74d8d
+size 4997750760

model/Temporal-RL-v1-SFT-Model/model-00002-of-00002.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:47f325f73f20f10e72ce6ee594296e4f7888e951f5cd9ab28a9f8a8793f8778a
+size 2511587184

model/Temporal-RL-v1-SFT-Model/model.safetensors.index.json

@@ -0,0 +1,831 @@
+{
+  "metadata": {
+    "total_size": 7509245952
+  },
+  "weight_map": {
+    "model.embed_tokens.weight": "model-00001-of-00002.safetensors",
+    "model.layers.0.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.0.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.0.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.0.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.0.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.0.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.1.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.1.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.1.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.1.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.1.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.1.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.10.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.10.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.10.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.10.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.10.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.10.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.10.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.10.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.10.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.10.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.10.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.10.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.11.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.11.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.11.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.11.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.11.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.11.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.11.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.11.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.11.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.11.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.11.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.11.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.12.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.12.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.12.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.12.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.12.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.12.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.12.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.12.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.12.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.12.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.12.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.12.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.13.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.13.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.13.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.13.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.13.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.13.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.13.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.13.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.13.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.13.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.13.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.13.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.14.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.14.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.14.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.14.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.14.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.14.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.14.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.14.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.14.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.14.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.14.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.14.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.15.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.15.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.15.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.15.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.15.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.15.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.15.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.15.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.15.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.15.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.15.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.15.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.16.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.16.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.16.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.16.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.16.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.16.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.16.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.16.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.16.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.16.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.16.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.16.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.17.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.17.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.17.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.17.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.17.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.17.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.17.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.17.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.17.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.17.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.17.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.17.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.18.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.18.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.18.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.18.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.18.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.18.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.18.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.18.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.18.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.18.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.18.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.18.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.19.input_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.19.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.19.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.19.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.19.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.19.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.19.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.19.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.19.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.19.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.19.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.19.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.2.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.2.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.2.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.2.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.2.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.2.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.20.input_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.20.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.20.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.20.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.20.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.20.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.20.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.20.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.20.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.20.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.20.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.20.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.21.input_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.21.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.21.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.21.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.21.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.21.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.21.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.21.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.21.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.21.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.21.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.21.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.22.input_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.22.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.22.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.22.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.22.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.22.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.22.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.22.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.22.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.22.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.22.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.22.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.23.input_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.23.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.23.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.23.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.23.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.23.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.23.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.23.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.23.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.23.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.23.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.23.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.24.input_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.24.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.24.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.24.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.24.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.24.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.24.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.24.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.24.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.24.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.24.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.24.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.25.input_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.25.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.25.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.25.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.25.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.25.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.25.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.25.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.25.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.25.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.25.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.25.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.26.input_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.26.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.26.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.26.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.26.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.26.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.26.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.26.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.26.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.26.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.26.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.26.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.27.input_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.27.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.27.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.27.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.27.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.27.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.27.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.27.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.27.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.27.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.27.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.27.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.28.input_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.28.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.28.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.28.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.28.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.28.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.28.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.28.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.28.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.28.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.28.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.28.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.29.input_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.29.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.29.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.29.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.29.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.29.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.29.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.29.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.29.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.29.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.29.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.29.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.3.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.3.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.3.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.3.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.3.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.3.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.30.input_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.30.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.30.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.30.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.30.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.30.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.30.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.30.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.30.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.30.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.30.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.30.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.31.input_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.31.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.31.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.31.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.31.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.31.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.31.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.31.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.31.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.31.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.31.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.31.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.32.input_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.32.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.32.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.32.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.32.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.32.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.32.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.32.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.32.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.32.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.32.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.32.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.33.input_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.33.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.33.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.33.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.33.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.33.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.33.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.33.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.33.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.33.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.33.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.33.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.34.input_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.34.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.34.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.34.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.34.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.34.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.34.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.34.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.34.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.34.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.34.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.34.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.35.input_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.35.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.35.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.35.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.35.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
+    "model.layers.35.self_attn.k_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.35.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.35.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.35.self_attn.q_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.35.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.35.self_attn.v_proj.bias": "model-00002-of-00002.safetensors",
+    "model.layers.35.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
+    "model.layers.4.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.4.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.4.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.4.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.4.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.4.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.5.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.5.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.5.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.5.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.5.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.5.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.6.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.6.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.6.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.6.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.6.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.6.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.6.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.6.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.6.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.6.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.6.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.6.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.7.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.7.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.7.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.7.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.7.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.7.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.7.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.7.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.7.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.7.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.7.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.7.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.8.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.8.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.8.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.8.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.8.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.8.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.8.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.8.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.8.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.8.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.8.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.8.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.9.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.9.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.9.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.9.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.9.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "model.layers.9.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.9.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.9.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.9.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.9.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "model.layers.9.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "model.layers.9.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "model.norm.weight": "model-00002-of-00002.safetensors",
+    "visual.blocks.0.attn.proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.0.attn.proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.0.attn.qkv.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.0.attn.qkv.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.0.mlp.down_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.0.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.0.mlp.gate_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.0.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.0.mlp.up_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.0.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.0.norm1.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.0.norm2.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.1.attn.proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.1.attn.proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.1.attn.qkv.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.1.attn.qkv.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.1.mlp.down_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.1.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.1.mlp.gate_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.1.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.1.mlp.up_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.1.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.1.norm1.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.1.norm2.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.10.attn.proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.10.attn.proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.10.attn.qkv.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.10.attn.qkv.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.10.mlp.down_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.10.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.10.mlp.gate_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.10.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.10.mlp.up_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.10.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.10.norm1.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.10.norm2.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.11.attn.proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.11.attn.proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.11.attn.qkv.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.11.attn.qkv.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.11.mlp.down_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.11.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.11.mlp.gate_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.11.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.11.mlp.up_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.11.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.11.norm1.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.11.norm2.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.12.attn.proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.12.attn.proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.12.attn.qkv.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.12.attn.qkv.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.12.mlp.down_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.12.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.12.mlp.gate_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.12.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.12.mlp.up_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.12.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.12.norm1.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.12.norm2.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.13.attn.proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.13.attn.proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.13.attn.qkv.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.13.attn.qkv.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.13.mlp.down_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.13.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.13.mlp.gate_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.13.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.13.mlp.up_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.13.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.13.norm1.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.13.norm2.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.14.attn.proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.14.attn.proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.14.attn.qkv.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.14.attn.qkv.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.14.mlp.down_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.14.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.14.mlp.gate_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.14.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.14.mlp.up_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.14.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.14.norm1.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.14.norm2.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.15.attn.proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.15.attn.proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.15.attn.qkv.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.15.attn.qkv.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.15.mlp.down_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.15.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.15.mlp.gate_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.15.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.15.mlp.up_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.15.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.15.norm1.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.15.norm2.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.16.attn.proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.16.attn.proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.16.attn.qkv.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.16.attn.qkv.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.16.mlp.down_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.16.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.16.mlp.gate_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.16.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.16.mlp.up_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.16.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.16.norm1.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.16.norm2.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.17.attn.proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.17.attn.proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.17.attn.qkv.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.17.attn.qkv.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.17.mlp.down_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.17.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.17.mlp.gate_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.17.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.17.mlp.up_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.17.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.17.norm1.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.17.norm2.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.18.attn.proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.18.attn.proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.18.attn.qkv.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.18.attn.qkv.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.18.mlp.down_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.18.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.18.mlp.gate_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.18.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.18.mlp.up_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.18.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.18.norm1.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.18.norm2.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.19.attn.proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.19.attn.proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.19.attn.qkv.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.19.attn.qkv.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.19.mlp.down_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.19.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.19.mlp.gate_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.19.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.19.mlp.up_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.19.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.19.norm1.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.19.norm2.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.2.attn.proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.2.attn.proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.2.attn.qkv.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.2.attn.qkv.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.2.mlp.down_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.2.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.2.mlp.gate_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.2.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.2.mlp.up_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.2.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.2.norm1.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.2.norm2.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.20.attn.proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.20.attn.proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.20.attn.qkv.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.20.attn.qkv.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.20.mlp.down_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.20.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.20.mlp.gate_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.20.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.20.mlp.up_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.20.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.20.norm1.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.20.norm2.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.21.attn.proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.21.attn.proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.21.attn.qkv.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.21.attn.qkv.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.21.mlp.down_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.21.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.21.mlp.gate_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.21.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.21.mlp.up_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.21.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.21.norm1.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.21.norm2.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.22.attn.proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.22.attn.proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.22.attn.qkv.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.22.attn.qkv.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.22.mlp.down_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.22.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.22.mlp.gate_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.22.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.22.mlp.up_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.22.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.22.norm1.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.22.norm2.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.23.attn.proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.23.attn.proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.23.attn.qkv.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.23.attn.qkv.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.23.mlp.down_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.23.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.23.mlp.gate_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.23.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.23.mlp.up_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.23.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.23.norm1.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.23.norm2.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.24.attn.proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.24.attn.proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.24.attn.qkv.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.24.attn.qkv.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.24.mlp.down_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.24.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.24.mlp.gate_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.24.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.24.mlp.up_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.24.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.24.norm1.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.24.norm2.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.25.attn.proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.25.attn.proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.25.attn.qkv.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.25.attn.qkv.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.25.mlp.down_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.25.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.25.mlp.gate_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.25.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.25.mlp.up_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.25.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.25.norm1.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.25.norm2.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.26.attn.proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.26.attn.proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.26.attn.qkv.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.26.attn.qkv.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.26.mlp.down_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.26.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.26.mlp.gate_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.26.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.26.mlp.up_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.26.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.26.norm1.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.26.norm2.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.27.attn.proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.27.attn.proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.27.attn.qkv.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.27.attn.qkv.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.27.mlp.down_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.27.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.27.mlp.gate_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.27.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.27.mlp.up_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.27.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.27.norm1.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.27.norm2.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.28.attn.proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.28.attn.proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.28.attn.qkv.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.28.attn.qkv.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.28.mlp.down_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.28.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.28.mlp.gate_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.28.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.28.mlp.up_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.28.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.28.norm1.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.28.norm2.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.29.attn.proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.29.attn.proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.29.attn.qkv.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.29.attn.qkv.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.29.mlp.down_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.29.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.29.mlp.gate_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.29.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.29.mlp.up_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.29.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.29.norm1.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.29.norm2.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.3.attn.proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.3.attn.proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.3.attn.qkv.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.3.attn.qkv.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.3.mlp.down_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.3.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.3.mlp.gate_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.3.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.3.mlp.up_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.3.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.3.norm1.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.3.norm2.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.30.attn.proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.30.attn.proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.30.attn.qkv.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.30.attn.qkv.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.30.mlp.down_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.30.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.30.mlp.gate_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.30.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.30.mlp.up_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.30.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.30.norm1.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.30.norm2.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.31.attn.proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.31.attn.proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.31.attn.qkv.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.31.attn.qkv.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.31.mlp.down_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.31.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.31.mlp.gate_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.31.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.31.mlp.up_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.31.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.31.norm1.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.31.norm2.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.4.attn.proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.4.attn.proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.4.attn.qkv.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.4.attn.qkv.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.4.mlp.down_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.4.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.4.mlp.gate_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.4.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.4.mlp.up_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.4.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.4.norm1.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.4.norm2.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.5.attn.proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.5.attn.proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.5.attn.qkv.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.5.attn.qkv.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.5.mlp.down_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.5.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.5.mlp.gate_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.5.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.5.mlp.up_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.5.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.5.norm1.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.5.norm2.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.6.attn.proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.6.attn.proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.6.attn.qkv.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.6.attn.qkv.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.6.mlp.down_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.6.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.6.mlp.gate_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.6.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.6.mlp.up_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.6.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.6.norm1.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.6.norm2.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.7.attn.proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.7.attn.proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.7.attn.qkv.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.7.attn.qkv.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.7.mlp.down_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.7.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.7.mlp.gate_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.7.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.7.mlp.up_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.7.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.7.norm1.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.7.norm2.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.8.attn.proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.8.attn.proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.8.attn.qkv.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.8.attn.qkv.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.8.mlp.down_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.8.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.8.mlp.gate_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.8.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.8.mlp.up_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.8.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.8.norm1.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.8.norm2.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.9.attn.proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.9.attn.proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.9.attn.qkv.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.9.attn.qkv.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.9.mlp.down_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.9.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.9.mlp.gate_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.9.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.9.mlp.up_proj.bias": "model-00001-of-00002.safetensors",
+    "visual.blocks.9.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.9.norm1.weight": "model-00001-of-00002.safetensors",
+    "visual.blocks.9.norm2.weight": "model-00001-of-00002.safetensors",
+    "visual.merger.ln_q.weight": "model-00001-of-00002.safetensors",
+    "visual.merger.mlp.0.bias": "model-00001-of-00002.safetensors",
+    "visual.merger.mlp.0.weight": "model-00001-of-00002.safetensors",
+    "visual.merger.mlp.2.bias": "model-00001-of-00002.safetensors",
+    "visual.merger.mlp.2.weight": "model-00001-of-00002.safetensors",
+    "visual.patch_embed.proj.weight": "model-00001-of-00002.safetensors"
+  }
+}

model/Temporal-RL-v1-SFT-Model/preprocessor_config.json

@@ -0,0 +1,29 @@
+{
+  "do_convert_rgb": true,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.48145466,
+    0.4578275,
+    0.40821073
+  ],
+  "image_processor_type": "Qwen2VLImageProcessor",
+  "image_std": [
+    0.26862954,
+    0.26130258,
+    0.27577711
+  ],
+  "max_pixels": 12845056,
+  "merge_size": 2,
+  "min_pixels": 3136,
+  "patch_size": 14,
+  "processor_class": "Qwen2_5_VLProcessor",
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "longest_edge": 12845056,
+    "shortest_edge": 3136
+  },
+  "temporal_patch_size": 2
+}

model/Temporal-RL-v1-SFT-Model/special_tokens_map.json

@@ -0,0 +1,31 @@
+{
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "eos_token": {
+    "content": "<|im_end|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

model/Temporal-RL-v1-SFT-Model/tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
+size 11421896

model/Temporal-RL-v1-SFT-Model/tokenizer_config.json

@@ -0,0 +1,210 @@
+{
+  "add_bos_token": false,
+  "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": {
+      "content": "<|box_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151649": {
+      "content": "<|box_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151650": {
+      "content": "<|quad_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151651": {
+      "content": "<|quad_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151652": {
+      "content": "<|vision_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151653": {
+      "content": "<|vision_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151654": {
+      "content": "<|vision_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151655": {
+      "content": "<|image_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151656": {
+      "content": "<|video_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151657": {
+      "content": "<tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151658": {
+      "content": "</tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151659": {
+      "content": "<|fim_prefix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151660": {
+      "content": "<|fim_middle|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151661": {
+      "content": "<|fim_suffix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151662": {
+      "content": "<|fim_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151663": {
+      "content": "<|repo_name|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151664": {
+      "content": "<|file_sep|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    }
+  },
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "bos_token": null,
+  "chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n{% endif %}<|im_start|>{{ message['role'] }}\n{% if message['content'] is string %}{{ message['content'] }}<|im_end|>\n{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>\n{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant\n{% endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "extra_special_tokens": {},
+  "model_max_length": 131072,
+  "pad_token": "<|endoftext|>",
+  "padding_side": "right",
+  "processor_class": "Qwen2_5_VLProcessor",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}

model/Temporal-RL-v1-SFT-Model/train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 1.9777777777777779,
+    "total_flos": 16588942442496.0,
+    "train_loss": 0.31561395537052583,
+    "train_runtime": 3749.3358,
+    "train_samples_per_second": 0.576,
+    "train_steps_per_second": 0.036
+}

model/Temporal-RL-v1-SFT-Model/trainer_log.jsonl

@@ -0,0 +1,135 @@
+{"current_steps": 1, "total_steps": 134, "loss": 0.6708, "lr": 7.142857142857143e-07, "epoch": 0.014814814814814815, "percentage": 0.75, "elapsed_time": "0:00:37", "remaining_time": "1:22:03"}
+{"current_steps": 2, "total_steps": 134, "loss": 0.6162, "lr": 1.4285714285714286e-06, "epoch": 0.02962962962962963, "percentage": 1.49, "elapsed_time": "0:01:06", "remaining_time": "1:12:36"}
+{"current_steps": 3, "total_steps": 134, "loss": 0.6365, "lr": 2.1428571428571427e-06, "epoch": 0.044444444444444446, "percentage": 2.24, "elapsed_time": "0:01:40", "remaining_time": "1:12:47"}
+{"current_steps": 4, "total_steps": 134, "loss": 0.6636, "lr": 2.8571428571428573e-06, "epoch": 0.05925925925925926, "percentage": 2.99, "elapsed_time": "0:02:07", "remaining_time": "1:08:52"}
+{"current_steps": 5, "total_steps": 134, "loss": 0.6309, "lr": 3.5714285714285718e-06, "epoch": 0.07407407407407407, "percentage": 3.73, "elapsed_time": "0:02:32", "remaining_time": "1:05:45"}
+{"current_steps": 6, "total_steps": 134, "loss": 0.6808, "lr": 4.2857142857142855e-06, "epoch": 0.08888888888888889, "percentage": 4.48, "elapsed_time": "0:03:00", "remaining_time": "1:04:15"}
+{"current_steps": 7, "total_steps": 134, "loss": 0.6568, "lr": 5e-06, "epoch": 0.1037037037037037, "percentage": 5.22, "elapsed_time": "0:03:27", "remaining_time": "1:02:42"}
+{"current_steps": 8, "total_steps": 134, "loss": 0.5162, "lr": 5.7142857142857145e-06, "epoch": 0.11851851851851852, "percentage": 5.97, "elapsed_time": "0:03:55", "remaining_time": "1:01:46"}
+{"current_steps": 9, "total_steps": 134, "loss": 0.4682, "lr": 6.4285714285714295e-06, "epoch": 0.13333333333333333, "percentage": 6.72, "elapsed_time": "0:04:21", "remaining_time": "1:00:38"}
+{"current_steps": 10, "total_steps": 134, "loss": 0.4979, "lr": 7.1428571428571436e-06, "epoch": 0.14814814814814814, "percentage": 7.46, "elapsed_time": "0:04:48", "remaining_time": "0:59:38"}
+{"current_steps": 11, "total_steps": 134, "loss": 0.5155, "lr": 7.857142857142858e-06, "epoch": 0.16296296296296298, "percentage": 8.21, "elapsed_time": "0:05:18", "remaining_time": "0:59:16"}
+{"current_steps": 12, "total_steps": 134, "loss": 0.4933, "lr": 8.571428571428571e-06, "epoch": 0.17777777777777778, "percentage": 8.96, "elapsed_time": "0:05:46", "remaining_time": "0:58:42"}
+{"current_steps": 13, "total_steps": 134, "loss": 0.5055, "lr": 9.285714285714288e-06, "epoch": 0.1925925925925926, "percentage": 9.7, "elapsed_time": "0:06:12", "remaining_time": "0:57:51"}
+{"current_steps": 14, "total_steps": 134, "loss": 0.4736, "lr": 1e-05, "epoch": 0.2074074074074074, "percentage": 10.45, "elapsed_time": "0:06:39", "remaining_time": "0:57:07"}
+{"current_steps": 15, "total_steps": 134, "loss": 0.4821, "lr": 9.998286624877786e-06, "epoch": 0.2222222222222222, "percentage": 11.19, "elapsed_time": "0:07:06", "remaining_time": "0:56:22"}
+{"current_steps": 16, "total_steps": 134, "loss": 0.4412, "lr": 9.993147673772869e-06, "epoch": 0.23703703703703705, "percentage": 11.94, "elapsed_time": "0:07:33", "remaining_time": "0:55:41"}
+{"current_steps": 17, "total_steps": 134, "loss": 0.4548, "lr": 9.984586668665641e-06, "epoch": 0.2518518518518518, "percentage": 12.69, "elapsed_time": "0:08:00", "remaining_time": "0:55:08"}
+{"current_steps": 18, "total_steps": 134, "loss": 0.4526, "lr": 9.972609476841368e-06, "epoch": 0.26666666666666666, "percentage": 13.43, "elapsed_time": "0:08:28", "remaining_time": "0:54:39"}
+{"current_steps": 19, "total_steps": 134, "loss": 0.4118, "lr": 9.957224306869053e-06, "epoch": 0.2814814814814815, "percentage": 14.18, "elapsed_time": "0:08:57", "remaining_time": "0:54:12"}
+{"current_steps": 20, "total_steps": 134, "loss": 0.3864, "lr": 9.938441702975689e-06, "epoch": 0.2962962962962963, "percentage": 14.93, "elapsed_time": "0:09:26", "remaining_time": "0:53:46"}
+{"current_steps": 21, "total_steps": 134, "loss": 0.4207, "lr": 9.916274537819774e-06, "epoch": 0.3111111111111111, "percentage": 15.67, "elapsed_time": "0:09:52", "remaining_time": "0:53:07"}
+{"current_steps": 22, "total_steps": 134, "loss": 0.412, "lr": 9.890738003669029e-06, "epoch": 0.32592592592592595, "percentage": 16.42, "elapsed_time": "0:10:20", "remaining_time": "0:52:40"}
+{"current_steps": 23, "total_steps": 134, "loss": 0.386, "lr": 9.861849601988384e-06, "epoch": 0.34074074074074073, "percentage": 17.16, "elapsed_time": "0:10:47", "remaining_time": "0:52:03"}
+{"current_steps": 24, "total_steps": 134, "loss": 0.4236, "lr": 9.829629131445342e-06, "epoch": 0.35555555555555557, "percentage": 17.91, "elapsed_time": "0:11:16", "remaining_time": "0:51:39"}
+{"current_steps": 25, "total_steps": 134, "loss": 0.3994, "lr": 9.794098674340966e-06, "epoch": 0.37037037037037035, "percentage": 18.66, "elapsed_time": "0:11:43", "remaining_time": "0:51:05"}
+{"current_steps": 26, "total_steps": 134, "loss": 0.3539, "lr": 9.755282581475769e-06, "epoch": 0.3851851851851852, "percentage": 19.4, "elapsed_time": "0:12:10", "remaining_time": "0:50:35"}
+{"current_steps": 27, "total_steps": 134, "loss": 0.4203, "lr": 9.713207455460893e-06, "epoch": 0.4, "percentage": 20.15, "elapsed_time": "0:12:38", "remaining_time": "0:50:04"}
+{"current_steps": 28, "total_steps": 134, "loss": 0.3467, "lr": 9.667902132486009e-06, "epoch": 0.4148148148148148, "percentage": 20.9, "elapsed_time": "0:13:06", "remaining_time": "0:49:37"}
+{"current_steps": 29, "total_steps": 134, "loss": 0.3887, "lr": 9.619397662556434e-06, "epoch": 0.42962962962962964, "percentage": 21.64, "elapsed_time": "0:13:34", "remaining_time": "0:49:10"}
+{"current_steps": 30, "total_steps": 134, "loss": 0.3704, "lr": 9.567727288213005e-06, "epoch": 0.4444444444444444, "percentage": 22.39, "elapsed_time": "0:14:02", "remaining_time": "0:48:42"}
+{"current_steps": 31, "total_steps": 134, "loss": 0.3687, "lr": 9.512926421749305e-06, "epoch": 0.45925925925925926, "percentage": 23.13, "elapsed_time": "0:14:30", "remaining_time": "0:48:10"}
+{"current_steps": 32, "total_steps": 134, "loss": 0.3439, "lr": 9.45503262094184e-06, "epoch": 0.4740740740740741, "percentage": 23.88, "elapsed_time": "0:14:57", "remaining_time": "0:47:42"}
+{"current_steps": 33, "total_steps": 134, "loss": 0.3643, "lr": 9.394085563309827e-06, "epoch": 0.4888888888888889, "percentage": 24.63, "elapsed_time": "0:15:25", "remaining_time": "0:47:13"}
+{"current_steps": 34, "total_steps": 134, "loss": 0.372, "lr": 9.330127018922195e-06, "epoch": 0.5037037037037037, "percentage": 25.37, "elapsed_time": "0:15:51", "remaining_time": "0:46:38"}
+{"current_steps": 35, "total_steps": 134, "loss": 0.3394, "lr": 9.263200821770462e-06, "epoch": 0.5185185185185185, "percentage": 26.12, "elapsed_time": "0:16:18", "remaining_time": "0:46:07"}
+{"current_steps": 36, "total_steps": 134, "loss": 0.3728, "lr": 9.193352839727122e-06, "epoch": 0.5333333333333333, "percentage": 26.87, "elapsed_time": "0:16:48", "remaining_time": "0:45:44"}
+{"current_steps": 37, "total_steps": 134, "loss": 0.4121, "lr": 9.120630943110078e-06, "epoch": 0.5481481481481482, "percentage": 27.61, "elapsed_time": "0:17:15", "remaining_time": "0:45:15"}
+{"current_steps": 38, "total_steps": 134, "loss": 0.3683, "lr": 9.045084971874738e-06, "epoch": 0.562962962962963, "percentage": 28.36, "elapsed_time": "0:17:42", "remaining_time": "0:44:43"}
+{"current_steps": 39, "total_steps": 134, "loss": 0.3134, "lr": 8.966766701456177e-06, "epoch": 0.5777777777777777, "percentage": 29.1, "elapsed_time": "0:18:09", "remaining_time": "0:44:14"}
+{"current_steps": 40, "total_steps": 134, "loss": 0.3682, "lr": 8.885729807284855e-06, "epoch": 0.5925925925925926, "percentage": 29.85, "elapsed_time": "0:18:37", "remaining_time": "0:43:46"}
+{"current_steps": 41, "total_steps": 134, "loss": 0.3296, "lr": 8.802029828000157e-06, "epoch": 0.6074074074074074, "percentage": 30.6, "elapsed_time": "0:19:05", "remaining_time": "0:43:17"}
+{"current_steps": 42, "total_steps": 134, "loss": 0.3118, "lr": 8.715724127386971e-06, "epoch": 0.6222222222222222, "percentage": 31.34, "elapsed_time": "0:19:33", "remaining_time": "0:42:49"}
+{"current_steps": 43, "total_steps": 134, "loss": 0.3483, "lr": 8.626871855061438e-06, "epoch": 0.6370370370370371, "percentage": 32.09, "elapsed_time": "0:20:02", "remaining_time": "0:42:23"}
+{"current_steps": 44, "total_steps": 134, "loss": 0.3599, "lr": 8.535533905932739e-06, "epoch": 0.6518518518518519, "percentage": 32.84, "elapsed_time": "0:20:30", "remaining_time": "0:41:57"}
+{"current_steps": 45, "total_steps": 134, "loss": 0.3167, "lr": 8.44177287846877e-06, "epoch": 0.6666666666666666, "percentage": 33.58, "elapsed_time": "0:20:59", "remaining_time": "0:41:30"}
+{"current_steps": 46, "total_steps": 134, "loss": 0.3869, "lr": 8.345653031794292e-06, "epoch": 0.6814814814814815, "percentage": 34.33, "elapsed_time": "0:21:28", "remaining_time": "0:41:05"}
+{"current_steps": 47, "total_steps": 134, "loss": 0.3589, "lr": 8.247240241650918e-06, "epoch": 0.6962962962962963, "percentage": 35.07, "elapsed_time": "0:21:57", "remaining_time": "0:40:38"}
+{"current_steps": 48, "total_steps": 134, "loss": 0.3016, "lr": 8.146601955249187e-06, "epoch": 0.7111111111111111, "percentage": 35.82, "elapsed_time": "0:22:24", "remaining_time": "0:40:08"}
+{"current_steps": 49, "total_steps": 134, "loss": 0.3101, "lr": 8.043807145043604e-06, "epoch": 0.725925925925926, "percentage": 36.57, "elapsed_time": "0:22:53", "remaining_time": "0:39:42"}
+{"current_steps": 50, "total_steps": 134, "loss": 0.3012, "lr": 7.938926261462366e-06, "epoch": 0.7407407407407407, "percentage": 37.31, "elapsed_time": "0:23:20", "remaining_time": "0:39:12"}
+{"current_steps": 51, "total_steps": 134, "loss": 0.3503, "lr": 7.832031184624165e-06, "epoch": 0.7555555555555555, "percentage": 38.06, "elapsed_time": "0:23:46", "remaining_time": "0:38:42"}
+{"current_steps": 52, "total_steps": 134, "loss": 0.367, "lr": 7.723195175075136e-06, "epoch": 0.7703703703703704, "percentage": 38.81, "elapsed_time": "0:24:15", "remaining_time": "0:38:14"}
+{"current_steps": 53, "total_steps": 134, "loss": 0.3267, "lr": 7.612492823579744e-06, "epoch": 0.7851851851851852, "percentage": 39.55, "elapsed_time": "0:24:43", "remaining_time": "0:37:47"}
+{"current_steps": 54, "total_steps": 134, "loss": 0.3899, "lr": 7.500000000000001e-06, "epoch": 0.8, "percentage": 40.3, "elapsed_time": "0:25:10", "remaining_time": "0:37:18"}
+{"current_steps": 55, "total_steps": 134, "loss": 0.3238, "lr": 7.3857938012980425e-06, "epoch": 0.8148148148148148, "percentage": 41.04, "elapsed_time": "0:25:38", "remaining_time": "0:36:49"}
+{"current_steps": 56, "total_steps": 134, "loss": 0.304, "lr": 7.269952498697734e-06, "epoch": 0.8296296296296296, "percentage": 41.79, "elapsed_time": "0:26:07", "remaining_time": "0:36:23"}
+{"current_steps": 57, "total_steps": 134, "loss": 0.3675, "lr": 7.1525554840414765e-06, "epoch": 0.8444444444444444, "percentage": 42.54, "elapsed_time": "0:26:35", "remaining_time": "0:35:55"}
+{"current_steps": 58, "total_steps": 134, "loss": 0.2999, "lr": 7.033683215379002e-06, "epoch": 0.8592592592592593, "percentage": 43.28, "elapsed_time": "0:27:03", "remaining_time": "0:35:27"}
+{"current_steps": 59, "total_steps": 134, "loss": 0.3537, "lr": 6.913417161825449e-06, "epoch": 0.8740740740740741, "percentage": 44.03, "elapsed_time": "0:27:32", "remaining_time": "0:35:00"}
+{"current_steps": 60, "total_steps": 134, "loss": 0.2816, "lr": 6.7918397477265e-06, "epoch": 0.8888888888888888, "percentage": 44.78, "elapsed_time": "0:27:58", "remaining_time": "0:34:30"}
+{"current_steps": 61, "total_steps": 134, "loss": 0.3732, "lr": 6.669034296168855e-06, "epoch": 0.9037037037037037, "percentage": 45.52, "elapsed_time": "0:28:26", "remaining_time": "0:34:01"}
+{"current_steps": 62, "total_steps": 134, "loss": 0.3149, "lr": 6.545084971874738e-06, "epoch": 0.9185185185185185, "percentage": 46.27, "elapsed_time": "0:28:56", "remaining_time": "0:33:36"}
+{"current_steps": 63, "total_steps": 134, "loss": 0.3248, "lr": 6.420076723519615e-06, "epoch": 0.9333333333333333, "percentage": 47.01, "elapsed_time": "0:29:25", "remaining_time": "0:33:09"}
+{"current_steps": 64, "total_steps": 134, "loss": 0.347, "lr": 6.294095225512604e-06, "epoch": 0.9481481481481482, "percentage": 47.76, "elapsed_time": "0:29:53", "remaining_time": "0:32:41"}
+{"current_steps": 65, "total_steps": 134, "loss": 0.3281, "lr": 6.1672268192795285e-06, "epoch": 0.9629629629629629, "percentage": 48.51, "elapsed_time": "0:30:22", "remaining_time": "0:32:14"}
+{"current_steps": 66, "total_steps": 134, "loss": 0.3298, "lr": 6.039558454088796e-06, "epoch": 0.9777777777777777, "percentage": 49.25, "elapsed_time": "0:30:48", "remaining_time": "0:31:45"}
+{"current_steps": 67, "total_steps": 134, "loss": 0.3587, "lr": 5.911177627460739e-06, "epoch": 0.9925925925925926, "percentage": 50.0, "elapsed_time": "0:31:17", "remaining_time": "0:31:17"}
+{"current_steps": 68, "total_steps": 134, "loss": 0.193, "lr": 5.782172325201155e-06, "epoch": 1.0, "percentage": 50.75, "elapsed_time": "0:31:24", "remaining_time": "0:30:28"}
+{"current_steps": 69, "total_steps": 134, "loss": 0.2649, "lr": 5.65263096110026e-06, "epoch": 1.0148148148148148, "percentage": 51.49, "elapsed_time": "0:31:52", "remaining_time": "0:30:01"}
+{"current_steps": 70, "total_steps": 134, "loss": 0.2522, "lr": 5.522642316338268e-06, "epoch": 1.0296296296296297, "percentage": 52.24, "elapsed_time": "0:32:23", "remaining_time": "0:29:36"}
+{"current_steps": 71, "total_steps": 134, "loss": 0.2596, "lr": 5.392295478639226e-06, "epoch": 1.0444444444444445, "percentage": 52.99, "elapsed_time": "0:32:49", "remaining_time": "0:29:07"}
+{"current_steps": 72, "total_steps": 134, "loss": 0.2197, "lr": 5.2616797812147205e-06, "epoch": 1.0592592592592593, "percentage": 53.73, "elapsed_time": "0:33:16", "remaining_time": "0:28:38"}
+{"current_steps": 73, "total_steps": 134, "loss": 0.2413, "lr": 5.130884741539367e-06, "epoch": 1.074074074074074, "percentage": 54.48, "elapsed_time": "0:33:43", "remaining_time": "0:28:11"}
+{"current_steps": 74, "total_steps": 134, "loss": 0.2378, "lr": 5e-06, "epoch": 1.0888888888888888, "percentage": 55.22, "elapsed_time": "0:34:11", "remaining_time": "0:27:43"}
+{"current_steps": 75, "total_steps": 134, "loss": 0.2627, "lr": 4.869115258460636e-06, "epoch": 1.1037037037037036, "percentage": 55.97, "elapsed_time": "0:34:38", "remaining_time": "0:27:15"}
+{"current_steps": 76, "total_steps": 134, "loss": 0.2198, "lr": 4.738320218785281e-06, "epoch": 1.1185185185185185, "percentage": 56.72, "elapsed_time": "0:35:09", "remaining_time": "0:26:49"}
+{"current_steps": 77, "total_steps": 134, "loss": 0.2374, "lr": 4.6077045213607765e-06, "epoch": 1.1333333333333333, "percentage": 57.46, "elapsed_time": "0:35:35", "remaining_time": "0:26:20"}
+{"current_steps": 78, "total_steps": 134, "loss": 0.2506, "lr": 4.477357683661734e-06, "epoch": 1.1481481481481481, "percentage": 58.21, "elapsed_time": "0:36:03", "remaining_time": "0:25:53"}
+{"current_steps": 79, "total_steps": 134, "loss": 0.2342, "lr": 4.347369038899744e-06, "epoch": 1.162962962962963, "percentage": 58.96, "elapsed_time": "0:36:33", "remaining_time": "0:25:26"}
+{"current_steps": 80, "total_steps": 134, "loss": 0.2164, "lr": 4.217827674798845e-06, "epoch": 1.1777777777777778, "percentage": 59.7, "elapsed_time": "0:37:02", "remaining_time": "0:24:59"}
+{"current_steps": 81, "total_steps": 134, "loss": 0.2385, "lr": 4.088822372539263e-06, "epoch": 1.1925925925925926, "percentage": 60.45, "elapsed_time": "0:37:30", "remaining_time": "0:24:32"}
+{"current_steps": 82, "total_steps": 134, "loss": 0.2139, "lr": 3.960441545911205e-06, "epoch": 1.2074074074074075, "percentage": 61.19, "elapsed_time": "0:37:57", "remaining_time": "0:24:04"}
+{"current_steps": 83, "total_steps": 134, "loss": 0.2169, "lr": 3.832773180720475e-06, "epoch": 1.2222222222222223, "percentage": 61.94, "elapsed_time": "0:38:27", "remaining_time": "0:23:37"}
+{"current_steps": 84, "total_steps": 134, "loss": 0.2095, "lr": 3.705904774487396e-06, "epoch": 1.237037037037037, "percentage": 62.69, "elapsed_time": "0:38:55", "remaining_time": "0:23:09"}
+{"current_steps": 85, "total_steps": 134, "loss": 0.2474, "lr": 3.579923276480387e-06, "epoch": 1.2518518518518518, "percentage": 63.43, "elapsed_time": "0:39:23", "remaining_time": "0:22:42"}
+{"current_steps": 86, "total_steps": 134, "loss": 0.2403, "lr": 3.4549150281252635e-06, "epoch": 1.2666666666666666, "percentage": 64.18, "elapsed_time": "0:39:50", "remaining_time": "0:22:14"}
+{"current_steps": 87, "total_steps": 134, "loss": 0.2236, "lr": 3.330965703831146e-06, "epoch": 1.2814814814814814, "percentage": 64.93, "elapsed_time": "0:40:17", "remaining_time": "0:21:46"}
+{"current_steps": 88, "total_steps": 134, "loss": 0.231, "lr": 3.2081602522734987e-06, "epoch": 1.2962962962962963, "percentage": 65.67, "elapsed_time": "0:40:46", "remaining_time": "0:21:19"}
+{"current_steps": 89, "total_steps": 134, "loss": 0.243, "lr": 3.0865828381745515e-06, "epoch": 1.3111111111111111, "percentage": 66.42, "elapsed_time": "0:41:15", "remaining_time": "0:20:51"}
+{"current_steps": 90, "total_steps": 134, "loss": 0.2609, "lr": 2.966316784621e-06, "epoch": 1.325925925925926, "percentage": 67.16, "elapsed_time": "0:41:44", "remaining_time": "0:20:24"}
+{"current_steps": 91, "total_steps": 134, "loss": 0.2795, "lr": 2.8474445159585235e-06, "epoch": 1.3407407407407408, "percentage": 67.91, "elapsed_time": "0:42:11", "remaining_time": "0:19:56"}
+{"current_steps": 92, "total_steps": 134, "loss": 0.2144, "lr": 2.7300475013022666e-06, "epoch": 1.3555555555555556, "percentage": 68.66, "elapsed_time": "0:42:39", "remaining_time": "0:19:28"}
+{"current_steps": 93, "total_steps": 134, "loss": 0.2244, "lr": 2.614206198701958e-06, "epoch": 1.3703703703703702, "percentage": 69.4, "elapsed_time": "0:43:06", "remaining_time": "0:19:00"}
+{"current_steps": 94, "total_steps": 134, "loss": 0.2317, "lr": 2.5000000000000015e-06, "epoch": 1.3851851851851853, "percentage": 70.15, "elapsed_time": "0:43:34", "remaining_time": "0:18:32"}
+{"current_steps": 95, "total_steps": 134, "loss": 0.2645, "lr": 2.387507176420256e-06, "epoch": 1.4, "percentage": 70.9, "elapsed_time": "0:44:03", "remaining_time": "0:18:05"}
+{"current_steps": 96, "total_steps": 134, "loss": 0.2161, "lr": 2.2768048249248648e-06, "epoch": 1.4148148148148147, "percentage": 71.64, "elapsed_time": "0:44:31", "remaining_time": "0:17:37"}
+{"current_steps": 97, "total_steps": 134, "loss": 0.2201, "lr": 2.1679688153758373e-06, "epoch": 1.4296296296296296, "percentage": 72.39, "elapsed_time": "0:45:00", "remaining_time": "0:17:10"}
+{"current_steps": 98, "total_steps": 134, "loss": 0.2107, "lr": 2.061073738537635e-06, "epoch": 1.4444444444444444, "percentage": 73.13, "elapsed_time": "0:45:28", "remaining_time": "0:16:42"}
+{"current_steps": 99, "total_steps": 134, "loss": 0.2453, "lr": 1.956192854956397e-06, "epoch": 1.4592592592592593, "percentage": 73.88, "elapsed_time": "0:45:56", "remaining_time": "0:16:14"}
+{"current_steps": 100, "total_steps": 134, "loss": 0.2074, "lr": 1.8533980447508138e-06, "epoch": 1.474074074074074, "percentage": 74.63, "elapsed_time": "0:46:24", "remaining_time": "0:15:46"}
+{"current_steps": 101, "total_steps": 134, "loss": 0.2449, "lr": 1.7527597583490825e-06, "epoch": 1.488888888888889, "percentage": 75.37, "elapsed_time": "0:46:53", "remaining_time": "0:15:19"}
+{"current_steps": 102, "total_steps": 134, "loss": 0.202, "lr": 1.6543469682057105e-06, "epoch": 1.5037037037037035, "percentage": 76.12, "elapsed_time": "0:47:20", "remaining_time": "0:14:51"}
+{"current_steps": 103, "total_steps": 134, "loss": 0.2559, "lr": 1.5582271215312294e-06, "epoch": 1.5185185185185186, "percentage": 76.87, "elapsed_time": "0:47:49", "remaining_time": "0:14:23"}
+{"current_steps": 104, "total_steps": 134, "loss": 0.197, "lr": 1.4644660940672628e-06, "epoch": 1.5333333333333332, "percentage": 77.61, "elapsed_time": "0:48:16", "remaining_time": "0:13:55"}
+{"current_steps": 105, "total_steps": 134, "loss": 0.2269, "lr": 1.373128144938563e-06, "epoch": 1.5481481481481483, "percentage": 78.36, "elapsed_time": "0:48:43", "remaining_time": "0:13:27"}
+{"current_steps": 106, "total_steps": 134, "loss": 0.189, "lr": 1.2842758726130283e-06, "epoch": 1.5629629629629629, "percentage": 79.1, "elapsed_time": "0:49:12", "remaining_time": "0:12:59"}
+{"current_steps": 107, "total_steps": 134, "loss": 0.2246, "lr": 1.1979701719998454e-06, "epoch": 1.5777777777777777, "percentage": 79.85, "elapsed_time": "0:49:40", "remaining_time": "0:12:32"}
+{"current_steps": 108, "total_steps": 134, "loss": 0.2423, "lr": 1.1142701927151456e-06, "epoch": 1.5925925925925926, "percentage": 80.6, "elapsed_time": "0:50:09", "remaining_time": "0:12:04"}
+{"current_steps": 109, "total_steps": 134, "loss": 0.1898, "lr": 1.0332332985438248e-06, "epoch": 1.6074074074074074, "percentage": 81.34, "elapsed_time": "0:50:36", "remaining_time": "0:11:36"}
+{"current_steps": 110, "total_steps": 134, "loss": 0.2172, "lr": 9.549150281252633e-07, "epoch": 1.6222222222222222, "percentage": 82.09, "elapsed_time": "0:51:04", "remaining_time": "0:11:08"}
+{"current_steps": 111, "total_steps": 134, "loss": 0.1935, "lr": 8.793690568899216e-07, "epoch": 1.637037037037037, "percentage": 82.84, "elapsed_time": "0:51:33", "remaining_time": "0:10:41"}
+{"current_steps": 112, "total_steps": 134, "loss": 0.2106, "lr": 8.066471602728804e-07, "epoch": 1.651851851851852, "percentage": 83.58, "elapsed_time": "0:52:01", "remaining_time": "0:10:13"}
+{"current_steps": 113, "total_steps": 134, "loss": 0.2118, "lr": 7.367991782295392e-07, "epoch": 1.6666666666666665, "percentage": 84.33, "elapsed_time": "0:52:30", "remaining_time": "0:09:45"}
+{"current_steps": 114, "total_steps": 134, "loss": 0.2305, "lr": 6.698729810778065e-07, "epoch": 1.6814814814814816, "percentage": 85.07, "elapsed_time": "0:52:59", "remaining_time": "0:09:17"}
+{"current_steps": 115, "total_steps": 134, "loss": 0.2001, "lr": 6.059144366901737e-07, "epoch": 1.6962962962962962, "percentage": 85.82, "elapsed_time": "0:53:27", "remaining_time": "0:08:49"}
+{"current_steps": 116, "total_steps": 134, "loss": 0.2109, "lr": 5.449673790581611e-07, "epoch": 1.7111111111111112, "percentage": 86.57, "elapsed_time": "0:53:57", "remaining_time": "0:08:22"}
+{"current_steps": 117, "total_steps": 134, "loss": 0.2242, "lr": 4.87073578250698e-07, "epoch": 1.7259259259259259, "percentage": 87.31, "elapsed_time": "0:54:25", "remaining_time": "0:07:54"}
+{"current_steps": 118, "total_steps": 134, "loss": 0.1916, "lr": 4.322727117869951e-07, "epoch": 1.7407407407407407, "percentage": 88.06, "elapsed_time": "0:54:54", "remaining_time": "0:07:26"}
+{"current_steps": 119, "total_steps": 134, "loss": 0.2275, "lr": 3.8060233744356634e-07, "epoch": 1.7555555555555555, "percentage": 88.81, "elapsed_time": "0:55:24", "remaining_time": "0:06:58"}
+{"current_steps": 120, "total_steps": 134, "loss": 0.1898, "lr": 3.320978675139919e-07, "epoch": 1.7703703703703704, "percentage": 89.55, "elapsed_time": "0:55:52", "remaining_time": "0:06:31"}
+{"current_steps": 121, "total_steps": 134, "loss": 0.2046, "lr": 2.867925445391079e-07, "epoch": 1.7851851851851852, "percentage": 90.3, "elapsed_time": "0:56:20", "remaining_time": "0:06:03"}
+{"current_steps": 122, "total_steps": 134, "loss": 0.1953, "lr": 2.447174185242324e-07, "epoch": 1.8, "percentage": 91.04, "elapsed_time": "0:56:48", "remaining_time": "0:05:35"}
+{"current_steps": 123, "total_steps": 134, "loss": 0.1879, "lr": 2.0590132565903475e-07, "epoch": 1.8148148148148149, "percentage": 91.79, "elapsed_time": "0:57:16", "remaining_time": "0:05:07"}
+{"current_steps": 124, "total_steps": 134, "loss": 0.2204, "lr": 1.7037086855465902e-07, "epoch": 1.8296296296296295, "percentage": 92.54, "elapsed_time": "0:57:44", "remaining_time": "0:04:39"}
+{"current_steps": 125, "total_steps": 134, "loss": 0.2015, "lr": 1.3815039801161723e-07, "epoch": 1.8444444444444446, "percentage": 93.28, "elapsed_time": "0:58:12", "remaining_time": "0:04:11"}
+{"current_steps": 126, "total_steps": 134, "loss": 0.2309, "lr": 1.0926199633097156e-07, "epoch": 1.8592592592592592, "percentage": 94.03, "elapsed_time": "0:58:41", "remaining_time": "0:03:43"}
+{"current_steps": 127, "total_steps": 134, "loss": 0.2246, "lr": 8.372546218022747e-08, "epoch": 1.8740740740740742, "percentage": 94.78, "elapsed_time": "0:59:08", "remaining_time": "0:03:15"}
+{"current_steps": 128, "total_steps": 134, "loss": 0.2304, "lr": 6.15582970243117e-08, "epoch": 1.8888888888888888, "percentage": 95.52, "elapsed_time": "0:59:34", "remaining_time": "0:02:47"}
+{"current_steps": 129, "total_steps": 134, "loss": 0.22, "lr": 4.2775693130948094e-08, "epoch": 1.9037037037037037, "percentage": 96.27, "elapsed_time": "1:00:01", "remaining_time": "0:02:19"}
+{"current_steps": 130, "total_steps": 134, "loss": 0.21, "lr": 2.7390523158633552e-08, "epoch": 1.9185185185185185, "percentage": 97.01, "elapsed_time": "1:00:30", "remaining_time": "0:01:51"}
+{"current_steps": 131, "total_steps": 134, "loss": 0.1992, "lr": 1.541333133436018e-08, "epoch": 1.9333333333333333, "percentage": 97.76, "elapsed_time": "1:00:56", "remaining_time": "0:01:23"}
+{"current_steps": 132, "total_steps": 134, "loss": 0.2134, "lr": 6.852326227130835e-09, "epoch": 1.9481481481481482, "percentage": 98.51, "elapsed_time": "1:01:22", "remaining_time": "0:00:55"}
+{"current_steps": 133, "total_steps": 134, "loss": 0.2031, "lr": 1.7133751222137007e-09, "epoch": 1.9629629629629628, "percentage": 99.25, "elapsed_time": "1:01:50", "remaining_time": "0:00:27"}
+{"current_steps": 134, "total_steps": 134, "loss": 0.277, "lr": 0.0, "epoch": 1.9777777777777779, "percentage": 100.0, "elapsed_time": "1:02:20", "remaining_time": "0:00:00"}
+{"current_steps": 134, "total_steps": 134, "epoch": 1.9777777777777779, "percentage": 100.0, "elapsed_time": "1:02:29", "remaining_time": "0:00:00"}

model/Temporal-RL-v1-SFT-Model/trainer_state.json

@@ -0,0 +1,980 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 1.9777777777777779,
+  "eval_steps": 500,
+  "global_step": 134,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.014814814814814815,
+      "grad_norm": 7.702609062194824,
+      "learning_rate": 7.142857142857143e-07,
+      "loss": 0.6708,
+      "step": 1
+    },
+    {
+      "epoch": 0.02962962962962963,
+      "grad_norm": 7.094837665557861,
+      "learning_rate": 1.4285714285714286e-06,
+      "loss": 0.6162,
+      "step": 2
+    },
+    {
+      "epoch": 0.044444444444444446,
+      "grad_norm": 7.258749961853027,
+      "learning_rate": 2.1428571428571427e-06,
+      "loss": 0.6365,
+      "step": 3
+    },
+    {
+      "epoch": 0.05925925925925926,
+      "grad_norm": 7.218754768371582,
+      "learning_rate": 2.8571428571428573e-06,
+      "loss": 0.6636,
+      "step": 4
+    },
+    {
+      "epoch": 0.07407407407407407,
+      "grad_norm": 6.677609920501709,
+      "learning_rate": 3.5714285714285718e-06,
+      "loss": 0.6309,
+      "step": 5
+    },
+    {
+      "epoch": 0.08888888888888889,
+      "grad_norm": 5.951747417449951,
+      "learning_rate": 4.2857142857142855e-06,
+      "loss": 0.6808,
+      "step": 6
+    },
+    {
+      "epoch": 0.1037037037037037,
+      "grad_norm": 4.597241401672363,
+      "learning_rate": 5e-06,
+      "loss": 0.6568,
+      "step": 7
+    },
+    {
+      "epoch": 0.11851851851851852,
+      "grad_norm": 4.114067554473877,
+      "learning_rate": 5.7142857142857145e-06,
+      "loss": 0.5162,
+      "step": 8
+    },
+    {
+      "epoch": 0.13333333333333333,
+      "grad_norm": 3.531320333480835,
+      "learning_rate": 6.4285714285714295e-06,
+      "loss": 0.4682,
+      "step": 9
+    },
+    {
+      "epoch": 0.14814814814814814,
+      "grad_norm": 3.2040295600891113,
+      "learning_rate": 7.1428571428571436e-06,
+      "loss": 0.4979,
+      "step": 10
+    },
+    {
+      "epoch": 0.16296296296296298,
+      "grad_norm": 3.335496187210083,
+      "learning_rate": 7.857142857142858e-06,
+      "loss": 0.5155,
+      "step": 11
+    },
+    {
+      "epoch": 0.17777777777777778,
+      "grad_norm": 3.380397081375122,
+      "learning_rate": 8.571428571428571e-06,
+      "loss": 0.4933,
+      "step": 12
+    },
+    {
+      "epoch": 0.1925925925925926,
+      "grad_norm": 3.3582332134246826,
+      "learning_rate": 9.285714285714288e-06,
+      "loss": 0.5055,
+      "step": 13
+    },
+    {
+      "epoch": 0.2074074074074074,
+      "grad_norm": 2.9715354442596436,
+      "learning_rate": 1e-05,
+      "loss": 0.4736,
+      "step": 14
+    },
+    {
+      "epoch": 0.2222222222222222,
+      "grad_norm": 3.1697323322296143,
+      "learning_rate": 9.998286624877786e-06,
+      "loss": 0.4821,
+      "step": 15
+    },
+    {
+      "epoch": 0.23703703703703705,
+      "grad_norm": 3.1671578884124756,
+      "learning_rate": 9.993147673772869e-06,
+      "loss": 0.4412,
+      "step": 16
+    },
+    {
+      "epoch": 0.2518518518518518,
+      "grad_norm": 3.9113576412200928,
+      "learning_rate": 9.984586668665641e-06,
+      "loss": 0.4548,
+      "step": 17
+    },
+    {
+      "epoch": 0.26666666666666666,
+      "grad_norm": 2.7919723987579346,
+      "learning_rate": 9.972609476841368e-06,
+      "loss": 0.4526,
+      "step": 18
+    },
+    {
+      "epoch": 0.2814814814814815,
+      "grad_norm": 2.4693500995635986,
+      "learning_rate": 9.957224306869053e-06,
+      "loss": 0.4118,
+      "step": 19
+    },
+    {
+      "epoch": 0.2962962962962963,
+      "grad_norm": 2.236760377883911,
+      "learning_rate": 9.938441702975689e-06,
+      "loss": 0.3864,
+      "step": 20
+    },
+    {
+      "epoch": 0.3111111111111111,
+      "grad_norm": 2.640174150466919,
+      "learning_rate": 9.916274537819774e-06,
+      "loss": 0.4207,
+      "step": 21
+    },
+    {
+      "epoch": 0.32592592592592595,
+      "grad_norm": 2.4440574645996094,
+      "learning_rate": 9.890738003669029e-06,
+      "loss": 0.412,
+      "step": 22
+    },
+    {
+      "epoch": 0.34074074074074073,
+      "grad_norm": 2.05110239982605,
+      "learning_rate": 9.861849601988384e-06,
+      "loss": 0.386,
+      "step": 23
+    },
+    {
+      "epoch": 0.35555555555555557,
+      "grad_norm": 2.3916494846343994,
+      "learning_rate": 9.829629131445342e-06,
+      "loss": 0.4236,
+      "step": 24
+    },
+    {
+      "epoch": 0.37037037037037035,
+      "grad_norm": 1.9808930158615112,
+      "learning_rate": 9.794098674340966e-06,
+      "loss": 0.3994,
+      "step": 25
+    },
+    {
+      "epoch": 0.3851851851851852,
+      "grad_norm": 2.183891773223877,
+      "learning_rate": 9.755282581475769e-06,
+      "loss": 0.3539,
+      "step": 26
+    },
+    {
+      "epoch": 0.4,
+      "grad_norm": 2.240402936935425,
+      "learning_rate": 9.713207455460893e-06,
+      "loss": 0.4203,
+      "step": 27
+    },
+    {
+      "epoch": 0.4148148148148148,
+      "grad_norm": 2.062958002090454,
+      "learning_rate": 9.667902132486009e-06,
+      "loss": 0.3467,
+      "step": 28
+    },
+    {
+      "epoch": 0.42962962962962964,
+      "grad_norm": 2.0140554904937744,
+      "learning_rate": 9.619397662556434e-06,
+      "loss": 0.3887,
+      "step": 29
+    },
+    {
+      "epoch": 0.4444444444444444,
+      "grad_norm": 2.0995934009552,
+      "learning_rate": 9.567727288213005e-06,
+      "loss": 0.3704,
+      "step": 30
+    },
+    {
+      "epoch": 0.45925925925925926,
+      "grad_norm": 1.8894461393356323,
+      "learning_rate": 9.512926421749305e-06,
+      "loss": 0.3687,
+      "step": 31
+    },
+    {
+      "epoch": 0.4740740740740741,
+      "grad_norm": 2.3990371227264404,
+      "learning_rate": 9.45503262094184e-06,
+      "loss": 0.3439,
+      "step": 32
+    },
+    {
+      "epoch": 0.4888888888888889,
+      "grad_norm": 2.088198184967041,
+      "learning_rate": 9.394085563309827e-06,
+      "loss": 0.3643,
+      "step": 33
+    },
+    {
+      "epoch": 0.5037037037037037,
+      "grad_norm": 1.9678709506988525,
+      "learning_rate": 9.330127018922195e-06,
+      "loss": 0.372,
+      "step": 34
+    },
+    {
+      "epoch": 0.5185185185185185,
+      "grad_norm": 1.8663300275802612,
+      "learning_rate": 9.263200821770462e-06,
+      "loss": 0.3394,
+      "step": 35
+    },
+    {
+      "epoch": 0.5333333333333333,
+      "grad_norm": 1.9435595273971558,
+      "learning_rate": 9.193352839727122e-06,
+      "loss": 0.3728,
+      "step": 36
+    },
+    {
+      "epoch": 0.5481481481481482,
+      "grad_norm": 2.171496629714966,
+      "learning_rate": 9.120630943110078e-06,
+      "loss": 0.4121,
+      "step": 37
+    },
+    {
+      "epoch": 0.562962962962963,
+      "grad_norm": 2.364117383956909,
+      "learning_rate": 9.045084971874738e-06,
+      "loss": 0.3683,
+      "step": 38
+    },
+    {
+      "epoch": 0.5777777777777777,
+      "grad_norm": 2.013690710067749,
+      "learning_rate": 8.966766701456177e-06,
+      "loss": 0.3134,
+      "step": 39
+    },
+    {
+      "epoch": 0.5925925925925926,
+      "grad_norm": 2.241053819656372,
+      "learning_rate": 8.885729807284855e-06,
+      "loss": 0.3682,
+      "step": 40
+    },
+    {
+      "epoch": 0.6074074074074074,
+      "grad_norm": 2.1442458629608154,
+      "learning_rate": 8.802029828000157e-06,
+      "loss": 0.3296,
+      "step": 41
+    },
+    {
+      "epoch": 0.6222222222222222,
+      "grad_norm": 1.8814829587936401,
+      "learning_rate": 8.715724127386971e-06,
+      "loss": 0.3118,
+      "step": 42
+    },
+    {
+      "epoch": 0.6370370370370371,
+      "grad_norm": 1.8920845985412598,
+      "learning_rate": 8.626871855061438e-06,
+      "loss": 0.3483,
+      "step": 43
+    },
+    {
+      "epoch": 0.6518518518518519,
+      "grad_norm": 2.084383249282837,
+      "learning_rate": 8.535533905932739e-06,
+      "loss": 0.3599,
+      "step": 44
+    },
+    {
+      "epoch": 0.6666666666666666,
+      "grad_norm": 2.0457632541656494,
+      "learning_rate": 8.44177287846877e-06,
+      "loss": 0.3167,
+      "step": 45
+    },
+    {
+      "epoch": 0.6814814814814815,
+      "grad_norm": 2.2837905883789062,
+      "learning_rate": 8.345653031794292e-06,
+      "loss": 0.3869,
+      "step": 46
+    },
+    {
+      "epoch": 0.6962962962962963,
+      "grad_norm": 2.0044803619384766,
+      "learning_rate": 8.247240241650918e-06,
+      "loss": 0.3589,
+      "step": 47
+    },
+    {
+      "epoch": 0.7111111111111111,
+      "grad_norm": 1.9825432300567627,
+      "learning_rate": 8.146601955249187e-06,
+      "loss": 0.3016,
+      "step": 48
+    },
+    {
+      "epoch": 0.725925925925926,
+      "grad_norm": 1.8693853616714478,
+      "learning_rate": 8.043807145043604e-06,
+      "loss": 0.3101,
+      "step": 49
+    },
+    {
+      "epoch": 0.7407407407407407,
+      "grad_norm": 2.068042755126953,
+      "learning_rate": 7.938926261462366e-06,
+      "loss": 0.3012,
+      "step": 50
+    },
+    {
+      "epoch": 0.7555555555555555,
+      "grad_norm": 2.041262149810791,
+      "learning_rate": 7.832031184624165e-06,
+      "loss": 0.3503,
+      "step": 51
+    },
+    {
+      "epoch": 0.7703703703703704,
+      "grad_norm": 2.048675060272217,
+      "learning_rate": 7.723195175075136e-06,
+      "loss": 0.367,
+      "step": 52
+    },
+    {
+      "epoch": 0.7851851851851852,
+      "grad_norm": 2.011500597000122,
+      "learning_rate": 7.612492823579744e-06,
+      "loss": 0.3267,
+      "step": 53
+    },
+    {
+      "epoch": 0.8,
+      "grad_norm": 2.290585994720459,
+      "learning_rate": 7.500000000000001e-06,
+      "loss": 0.3899,
+      "step": 54
+    },
+    {
+      "epoch": 0.8148148148148148,
+      "grad_norm": 1.857143521308899,
+      "learning_rate": 7.3857938012980425e-06,
+      "loss": 0.3238,
+      "step": 55
+    },
+    {
+      "epoch": 0.8296296296296296,
+      "grad_norm": 1.745104432106018,
+      "learning_rate": 7.269952498697734e-06,
+      "loss": 0.304,
+      "step": 56
+    },
+    {
+      "epoch": 0.8444444444444444,
+      "grad_norm": 2.240908622741699,
+      "learning_rate": 7.1525554840414765e-06,
+      "loss": 0.3675,
+      "step": 57
+    },
+    {
+      "epoch": 0.8592592592592593,
+      "grad_norm": 1.8256235122680664,
+      "learning_rate": 7.033683215379002e-06,
+      "loss": 0.2999,
+      "step": 58
+    },
+    {
+      "epoch": 0.8740740740740741,
+      "grad_norm": 1.8746463060379028,
+      "learning_rate": 6.913417161825449e-06,
+      "loss": 0.3537,
+      "step": 59
+    },
+    {
+      "epoch": 0.8888888888888888,
+      "grad_norm": 1.7804794311523438,
+      "learning_rate": 6.7918397477265e-06,
+      "loss": 0.2816,
+      "step": 60
+    },
+    {
+      "epoch": 0.9037037037037037,
+      "grad_norm": 2.0704662799835205,
+      "learning_rate": 6.669034296168855e-06,
+      "loss": 0.3732,
+      "step": 61
+    },
+    {
+      "epoch": 0.9185185185185185,
+      "grad_norm": 2.0186259746551514,
+      "learning_rate": 6.545084971874738e-06,
+      "loss": 0.3149,
+      "step": 62
+    },
+    {
+      "epoch": 0.9333333333333333,
+      "grad_norm": 1.8946369886398315,
+      "learning_rate": 6.420076723519615e-06,
+      "loss": 0.3248,
+      "step": 63
+    },
+    {
+      "epoch": 0.9481481481481482,
+      "grad_norm": 1.9813485145568848,
+      "learning_rate": 6.294095225512604e-06,
+      "loss": 0.347,
+      "step": 64
+    },
+    {
+      "epoch": 0.9629629629629629,
+      "grad_norm": 2.065765857696533,
+      "learning_rate": 6.1672268192795285e-06,
+      "loss": 0.3281,
+      "step": 65
+    },
+    {
+      "epoch": 0.9777777777777777,
+      "grad_norm": 1.9031152725219727,
+      "learning_rate": 6.039558454088796e-06,
+      "loss": 0.3298,
+      "step": 66
+    },
+    {
+      "epoch": 0.9925925925925926,
+      "grad_norm": 2.0017669200897217,
+      "learning_rate": 5.911177627460739e-06,
+      "loss": 0.3587,
+      "step": 67
+    },
+    {
+      "epoch": 1.0,
+      "grad_norm": 2.0017669200897217,
+      "learning_rate": 5.782172325201155e-06,
+      "loss": 0.193,
+      "step": 68
+    },
+    {
+      "epoch": 1.0148148148148148,
+      "grad_norm": 1.9586176872253418,
+      "learning_rate": 5.65263096110026e-06,
+      "loss": 0.2649,
+      "step": 69
+    },
+    {
+      "epoch": 1.0296296296296297,
+      "grad_norm": 1.5915415287017822,
+      "learning_rate": 5.522642316338268e-06,
+      "loss": 0.2522,
+      "step": 70
+    },
+    {
+      "epoch": 1.0444444444444445,
+      "grad_norm": 1.5929993391036987,
+      "learning_rate": 5.392295478639226e-06,
+      "loss": 0.2596,
+      "step": 71
+    },
+    {
+      "epoch": 1.0592592592592593,
+      "grad_norm": 1.843239665031433,
+      "learning_rate": 5.2616797812147205e-06,
+      "loss": 0.2197,
+      "step": 72
+    },
+    {
+      "epoch": 1.074074074074074,
+      "grad_norm": 1.5426833629608154,
+      "learning_rate": 5.130884741539367e-06,
+      "loss": 0.2413,
+      "step": 73
+    },
+    {
+      "epoch": 1.0888888888888888,
+      "grad_norm": 1.7738369703292847,
+      "learning_rate": 5e-06,
+      "loss": 0.2378,
+      "step": 74
+    },
+    {
+      "epoch": 1.1037037037037036,
+      "grad_norm": 1.7147657871246338,
+      "learning_rate": 4.869115258460636e-06,
+      "loss": 0.2627,
+      "step": 75
+    },
+    {
+      "epoch": 1.1185185185185185,
+      "grad_norm": 1.7169849872589111,
+      "learning_rate": 4.738320218785281e-06,
+      "loss": 0.2198,
+      "step": 76
+    },
+    {
+      "epoch": 1.1333333333333333,
+      "grad_norm": 1.5460858345031738,
+      "learning_rate": 4.6077045213607765e-06,
+      "loss": 0.2374,
+      "step": 77
+    },
+    {
+      "epoch": 1.1481481481481481,
+      "grad_norm": 1.7011011838912964,
+      "learning_rate": 4.477357683661734e-06,
+      "loss": 0.2506,
+      "step": 78
+    },
+    {
+      "epoch": 1.162962962962963,
+      "grad_norm": 1.5788675546646118,
+      "learning_rate": 4.347369038899744e-06,
+      "loss": 0.2342,
+      "step": 79
+    },
+    {
+      "epoch": 1.1777777777777778,
+      "grad_norm": 1.6361267566680908,
+      "learning_rate": 4.217827674798845e-06,
+      "loss": 0.2164,
+      "step": 80
+    },
+    {
+      "epoch": 1.1925925925925926,
+      "grad_norm": 1.7679011821746826,
+      "learning_rate": 4.088822372539263e-06,
+      "loss": 0.2385,
+      "step": 81
+    },
+    {
+      "epoch": 1.2074074074074075,
+      "grad_norm": 1.700779914855957,
+      "learning_rate": 3.960441545911205e-06,
+      "loss": 0.2139,
+      "step": 82
+    },
+    {
+      "epoch": 1.2222222222222223,
+      "grad_norm": 1.7780712842941284,
+      "learning_rate": 3.832773180720475e-06,
+      "loss": 0.2169,
+      "step": 83
+    },
+    {
+      "epoch": 1.237037037037037,
+      "grad_norm": 2.0010645389556885,
+      "learning_rate": 3.705904774487396e-06,
+      "loss": 0.2095,
+      "step": 84
+    },
+    {
+      "epoch": 1.2518518518518518,
+      "grad_norm": 1.7995476722717285,
+      "learning_rate": 3.579923276480387e-06,
+      "loss": 0.2474,
+      "step": 85
+    },
+    {
+      "epoch": 1.2666666666666666,
+      "grad_norm": 1.8962420225143433,
+      "learning_rate": 3.4549150281252635e-06,
+      "loss": 0.2403,
+      "step": 86
+    },
+    {
+      "epoch": 1.2814814814814814,
+      "grad_norm": 5.5545525550842285,
+      "learning_rate": 3.330965703831146e-06,
+      "loss": 0.2236,
+      "step": 87
+    },
+    {
+      "epoch": 1.2962962962962963,
+      "grad_norm": 1.6979694366455078,
+      "learning_rate": 3.2081602522734987e-06,
+      "loss": 0.231,
+      "step": 88
+    },
+    {
+      "epoch": 1.3111111111111111,
+      "grad_norm": 1.9492502212524414,
+      "learning_rate": 3.0865828381745515e-06,
+      "loss": 0.243,
+      "step": 89
+    },
+    {
+      "epoch": 1.325925925925926,
+      "grad_norm": 2.103241205215454,
+      "learning_rate": 2.966316784621e-06,
+      "loss": 0.2609,
+      "step": 90
+    },
+    {
+      "epoch": 1.3407407407407408,
+      "grad_norm": 1.863664150238037,
+      "learning_rate": 2.8474445159585235e-06,
+      "loss": 0.2795,
+      "step": 91
+    },
+    {
+      "epoch": 1.3555555555555556,
+      "grad_norm": 2.060147762298584,
+      "learning_rate": 2.7300475013022666e-06,
+      "loss": 0.2144,
+      "step": 92
+    },
+    {
+      "epoch": 1.3703703703703702,
+      "grad_norm": 1.712803602218628,
+      "learning_rate": 2.614206198701958e-06,
+      "loss": 0.2244,
+      "step": 93
+    },
+    {
+      "epoch": 1.3851851851851853,
+      "grad_norm": 1.9381576776504517,
+      "learning_rate": 2.5000000000000015e-06,
+      "loss": 0.2317,
+      "step": 94
+    },
+    {
+      "epoch": 1.4,
+      "grad_norm": 1.780733346939087,
+      "learning_rate": 2.387507176420256e-06,
+      "loss": 0.2645,
+      "step": 95
+    },
+    {
+      "epoch": 1.4148148148148147,
+      "grad_norm": 1.9505475759506226,
+      "learning_rate": 2.2768048249248648e-06,
+      "loss": 0.2161,
+      "step": 96
+    },
+    {
+      "epoch": 1.4296296296296296,
+      "grad_norm": 1.833164095878601,
+      "learning_rate": 2.1679688153758373e-06,
+      "loss": 0.2201,
+      "step": 97
+    },
+    {
+      "epoch": 1.4444444444444444,
+      "grad_norm": 1.7469102144241333,
+      "learning_rate": 2.061073738537635e-06,
+      "loss": 0.2107,
+      "step": 98
+    },
+    {
+      "epoch": 1.4592592592592593,
+      "grad_norm": 1.7094228267669678,
+      "learning_rate": 1.956192854956397e-06,
+      "loss": 0.2453,
+      "step": 99
+    },
+    {
+      "epoch": 1.474074074074074,
+      "grad_norm": 1.544037103652954,
+      "learning_rate": 1.8533980447508138e-06,
+      "loss": 0.2074,
+      "step": 100
+    },
+    {
+      "epoch": 1.488888888888889,
+      "grad_norm": 1.733799695968628,
+      "learning_rate": 1.7527597583490825e-06,
+      "loss": 0.2449,
+      "step": 101
+    },
+    {
+      "epoch": 1.5037037037037035,
+      "grad_norm": 1.6724827289581299,
+      "learning_rate": 1.6543469682057105e-06,
+      "loss": 0.202,
+      "step": 102
+    },
+    {
+      "epoch": 1.5185185185185186,
+      "grad_norm": 1.8023016452789307,
+      "learning_rate": 1.5582271215312294e-06,
+      "loss": 0.2559,
+      "step": 103
+    },
+    {
+      "epoch": 1.5333333333333332,
+      "grad_norm": 1.7178767919540405,
+      "learning_rate": 1.4644660940672628e-06,
+      "loss": 0.197,
+      "step": 104
+    },
+    {
+      "epoch": 1.5481481481481483,
+      "grad_norm": 1.5380842685699463,
+      "learning_rate": 1.373128144938563e-06,
+      "loss": 0.2269,
+      "step": 105
+    },
+    {
+      "epoch": 1.5629629629629629,
+      "grad_norm": 1.6151015758514404,
+      "learning_rate": 1.2842758726130283e-06,
+      "loss": 0.189,
+      "step": 106
+    },
+    {
+      "epoch": 1.5777777777777777,
+      "grad_norm": 1.528343915939331,
+      "learning_rate": 1.1979701719998454e-06,
+      "loss": 0.2246,
+      "step": 107
+    },
+    {
+      "epoch": 1.5925925925925926,
+      "grad_norm": 1.610695242881775,
+      "learning_rate": 1.1142701927151456e-06,
+      "loss": 0.2423,
+      "step": 108
+    },
+    {
+      "epoch": 1.6074074074074074,
+      "grad_norm": 1.4739221334457397,
+      "learning_rate": 1.0332332985438248e-06,
+      "loss": 0.1898,
+      "step": 109
+    },
+    {
+      "epoch": 1.6222222222222222,
+      "grad_norm": 1.6951475143432617,
+      "learning_rate": 9.549150281252633e-07,
+      "loss": 0.2172,
+      "step": 110
+    },
+    {
+      "epoch": 1.637037037037037,
+      "grad_norm": 1.8165279626846313,
+      "learning_rate": 8.793690568899216e-07,
+      "loss": 0.1935,
+      "step": 111
+    },
+    {
+      "epoch": 1.651851851851852,
+      "grad_norm": 1.702746033668518,
+      "learning_rate": 8.066471602728804e-07,
+      "loss": 0.2106,
+      "step": 112
+    },
+    {
+      "epoch": 1.6666666666666665,
+      "grad_norm": 1.6689952611923218,
+      "learning_rate": 7.367991782295392e-07,
+      "loss": 0.2118,
+      "step": 113
+    },
+    {
+      "epoch": 1.6814814814814816,
+      "grad_norm": 1.8031055927276611,
+      "learning_rate": 6.698729810778065e-07,
+      "loss": 0.2305,
+      "step": 114
+    },
+    {
+      "epoch": 1.6962962962962962,
+      "grad_norm": 1.6546099185943604,
+      "learning_rate": 6.059144366901737e-07,
+      "loss": 0.2001,
+      "step": 115
+    },
+    {
+      "epoch": 1.7111111111111112,
+      "grad_norm": 1.5135408639907837,
+      "learning_rate": 5.449673790581611e-07,
+      "loss": 0.2109,
+      "step": 116
+    },
+    {
+      "epoch": 1.7259259259259259,
+      "grad_norm": 1.7520124912261963,
+      "learning_rate": 4.87073578250698e-07,
+      "loss": 0.2242,
+      "step": 117
+    },
+    {
+      "epoch": 1.7407407407407407,
+      "grad_norm": 1.5502383708953857,
+      "learning_rate": 4.322727117869951e-07,
+      "loss": 0.1916,
+      "step": 118
+    },
+    {
+      "epoch": 1.7555555555555555,
+      "grad_norm": 1.6195175647735596,
+      "learning_rate": 3.8060233744356634e-07,
+      "loss": 0.2275,
+      "step": 119
+    },
+    {
+      "epoch": 1.7703703703703704,
+      "grad_norm": 1.5931931734085083,
+      "learning_rate": 3.320978675139919e-07,
+      "loss": 0.1898,
+      "step": 120
+    },
+    {
+      "epoch": 1.7851851851851852,
+      "grad_norm": 1.5053722858428955,
+      "learning_rate": 2.867925445391079e-07,
+      "loss": 0.2046,
+      "step": 121
+    },
+    {
+      "epoch": 1.8,
+      "grad_norm": 1.5802323818206787,
+      "learning_rate": 2.447174185242324e-07,
+      "loss": 0.1953,
+      "step": 122
+    },
+    {
+      "epoch": 1.8148148148148149,
+      "grad_norm": 1.687935471534729,
+      "learning_rate": 2.0590132565903475e-07,
+      "loss": 0.1879,
+      "step": 123
+    },
+    {
+      "epoch": 1.8296296296296295,
+      "grad_norm": 1.6318422555923462,
+      "learning_rate": 1.7037086855465902e-07,
+      "loss": 0.2204,
+      "step": 124
+    },
+    {
+      "epoch": 1.8444444444444446,
+      "grad_norm": 1.5911425352096558,
+      "learning_rate": 1.3815039801161723e-07,
+      "loss": 0.2015,
+      "step": 125
+    },
+    {
+      "epoch": 1.8592592592592592,
+      "grad_norm": 1.5950987339019775,
+      "learning_rate": 1.0926199633097156e-07,
+      "loss": 0.2309,
+      "step": 126
+    },
+    {
+      "epoch": 1.8740740740740742,
+      "grad_norm": 1.594740629196167,
+      "learning_rate": 8.372546218022747e-08,
+      "loss": 0.2246,
+      "step": 127
+    },
+    {
+      "epoch": 1.8888888888888888,
+      "grad_norm": 1.5707076787948608,
+      "learning_rate": 6.15582970243117e-08,
+      "loss": 0.2304,
+      "step": 128
+    },
+    {
+      "epoch": 1.9037037037037037,
+      "grad_norm": 1.5971713066101074,
+      "learning_rate": 4.2775693130948094e-08,
+      "loss": 0.22,
+      "step": 129
+    },
+    {
+      "epoch": 1.9185185185185185,
+      "grad_norm": 1.4807204008102417,
+      "learning_rate": 2.7390523158633552e-08,
+      "loss": 0.21,
+      "step": 130
+    },
+    {
+      "epoch": 1.9333333333333333,
+      "grad_norm": 1.5664712190628052,
+      "learning_rate": 1.541333133436018e-08,
+      "loss": 0.1992,
+      "step": 131
+    },
+    {
+      "epoch": 1.9481481481481482,
+      "grad_norm": 1.5502270460128784,
+      "learning_rate": 6.852326227130835e-09,
+      "loss": 0.2134,
+      "step": 132
+    },
+    {
+      "epoch": 1.9629629629629628,
+      "grad_norm": 1.6849435567855835,
+      "learning_rate": 1.7133751222137007e-09,
+      "loss": 0.2031,
+      "step": 133
+    },
+    {
+      "epoch": 1.9777777777777779,
+      "grad_norm": 1.7803889513015747,
+      "learning_rate": 0.0,
+      "loss": 0.277,
+      "step": 134
+    },
+    {
+      "epoch": 1.9777777777777779,
+      "step": 134,
+      "total_flos": 16588942442496.0,
+      "train_loss": 0.31561395537052583,
+      "train_runtime": 3749.3358,
+      "train_samples_per_second": 0.576,
+      "train_steps_per_second": 0.036
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 134,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 2,
+  "save_steps": 5000,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 16588942442496.0,
+  "train_batch_size": 1,
+  "trial_name": null,
+  "trial_params": null
+}

model/Temporal-RL-v1-SFT-Model/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cb715f10fd04cacd20286d6c34933a66adeece628df9fab9dacffaf836f7c485
+size 7864