lllqaq commited on
Commit
e0843da
·
verified ·
1 Parent(s): c7e586c

Add files using upload-large-folder tool

Browse files
.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,61 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ license: other
4
+ base_model: Qwen/Qwen2.5-Coder-14B-Instruct
5
+ tags:
6
+ - llama-factory
7
+ - full
8
+ - generated_from_trainer
9
+ model-index:
10
+ - name: R2EGym-14B-Agent-Coder-Instruct
11
+ results: []
12
+ ---
13
+
14
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
15
+ should probably proofread and complete it, then remove this comment. -->
16
+
17
+ # R2EGym-14B-Agent-Coder-Instruct
18
+
19
+ This model is a fine-tuned version of [Qwen/Qwen2.5-Coder-14B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-14B-Instruct) on the r2egym_sft_trajectories dataset.
20
+
21
+ ## Model description
22
+
23
+ More information needed
24
+
25
+ ## Intended uses & limitations
26
+
27
+ More information needed
28
+
29
+ ## Training and evaluation data
30
+
31
+ More information needed
32
+
33
+ ## Training procedure
34
+
35
+ ### Training hyperparameters
36
+
37
+ The following hyperparameters were used during training:
38
+ - learning_rate: 1e-05
39
+ - train_batch_size: 1
40
+ - eval_batch_size: 8
41
+ - seed: 42
42
+ - distributed_type: multi-GPU
43
+ - num_devices: 4
44
+ - gradient_accumulation_steps: 2
45
+ - total_train_batch_size: 8
46
+ - total_eval_batch_size: 32
47
+ - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
48
+ - lr_scheduler_type: cosine
49
+ - lr_scheduler_warmup_ratio: 0.1
50
+ - num_epochs: 2.0
51
+
52
+ ### Training results
53
+
54
+
55
+
56
+ ### Framework versions
57
+
58
+ - Transformers 4.57.1
59
+ - Pytorch 2.10.0+cu128
60
+ - Datasets 4.0.0
61
+ - Tokenizers 0.22.2
added_tokens.json ADDED
@@ -0,0 +1,24 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</tool_call>": 151658,
3
+ "<tool_call>": 151657,
4
+ "<|box_end|>": 151649,
5
+ "<|box_start|>": 151648,
6
+ "<|endoftext|>": 151643,
7
+ "<|file_sep|>": 151664,
8
+ "<|fim_middle|>": 151660,
9
+ "<|fim_pad|>": 151662,
10
+ "<|fim_prefix|>": 151659,
11
+ "<|fim_suffix|>": 151661,
12
+ "<|im_end|>": 151645,
13
+ "<|im_start|>": 151644,
14
+ "<|image_pad|>": 151655,
15
+ "<|object_ref_end|>": 151647,
16
+ "<|object_ref_start|>": 151646,
17
+ "<|quad_end|>": 151651,
18
+ "<|quad_start|>": 151650,
19
+ "<|repo_name|>": 151663,
20
+ "<|video_pad|>": 151656,
21
+ "<|vision_end|>": 151653,
22
+ "<|vision_pad|>": 151654,
23
+ "<|vision_start|>": 151652
24
+ }
all_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.0,
3
+ "total_flos": 1.995296975397847e+17,
4
+ "train_loss": 0.15181401895709556,
5
+ "train_runtime": 29257.7471,
6
+ "train_samples_per_second": 0.221,
7
+ "train_steps_per_second": 0.028
8
+ }
chat_template.jinja ADDED
@@ -0,0 +1,54 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {%- if tools %}
2
+ {{- '<|im_start|>system\n' }}
3
+ {%- if messages[0]['role'] == 'system' %}
4
+ {{- messages[0]['content'] }}
5
+ {%- else %}
6
+ {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
7
+ {%- endif %}
8
+ {{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
9
+ {%- for tool in tools %}
10
+ {{- "\n" }}
11
+ {{- tool | tojson }}
12
+ {%- endfor %}
13
+ {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
14
+ {%- else %}
15
+ {%- if messages[0]['role'] == 'system' %}
16
+ {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
17
+ {%- else %}
18
+ {{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
19
+ {%- endif %}
20
+ {%- endif %}
21
+ {%- for message in messages %}
22
+ {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
23
+ {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
24
+ {%- elif message.role == "assistant" %}
25
+ {{- '<|im_start|>' + message.role }}
26
+ {%- if message.content %}
27
+ {{- '\n' + message.content }}
28
+ {%- endif %}
29
+ {%- for tool_call in message.tool_calls %}
30
+ {%- if tool_call.function is defined %}
31
+ {%- set tool_call = tool_call.function %}
32
+ {%- endif %}
33
+ {{- '\n<tool_call>\n{"name": "' }}
34
+ {{- tool_call.name }}
35
+ {{- '", "arguments": ' }}
36
+ {{- tool_call.arguments | tojson }}
37
+ {{- '}\n</tool_call>' }}
38
+ {%- endfor %}
39
+ {{- '<|im_end|>\n' }}
40
+ {%- elif message.role == "tool" %}
41
+ {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
42
+ {{- '<|im_start|>user' }}
43
+ {%- endif %}
44
+ {{- '\n<tool_response>\n' }}
45
+ {{- message.content }}
46
+ {{- '\n</tool_response>' }}
47
+ {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
48
+ {{- '<|im_end|>\n' }}
49
+ {%- endif %}
50
+ {%- endif %}
51
+ {%- endfor %}
52
+ {%- if add_generation_prompt %}
53
+ {{- '<|im_start|>assistant\n' }}
54
+ {%- endif %}
config.json ADDED
@@ -0,0 +1,78 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Qwen2ForCausalLM"
4
+ ],
5
+ "attention_dropout": 0.0,
6
+ "dtype": "bfloat16",
7
+ "eos_token_id": 151645,
8
+ "hidden_act": "silu",
9
+ "hidden_size": 5120,
10
+ "initializer_range": 0.02,
11
+ "intermediate_size": 13824,
12
+ "layer_types": [
13
+ "full_attention",
14
+ "full_attention",
15
+ "full_attention",
16
+ "full_attention",
17
+ "full_attention",
18
+ "full_attention",
19
+ "full_attention",
20
+ "full_attention",
21
+ "full_attention",
22
+ "full_attention",
23
+ "full_attention",
24
+ "full_attention",
25
+ "full_attention",
26
+ "full_attention",
27
+ "full_attention",
28
+ "full_attention",
29
+ "full_attention",
30
+ "full_attention",
31
+ "full_attention",
32
+ "full_attention",
33
+ "full_attention",
34
+ "full_attention",
35
+ "full_attention",
36
+ "full_attention",
37
+ "full_attention",
38
+ "full_attention",
39
+ "full_attention",
40
+ "full_attention",
41
+ "full_attention",
42
+ "full_attention",
43
+ "full_attention",
44
+ "full_attention",
45
+ "full_attention",
46
+ "full_attention",
47
+ "full_attention",
48
+ "full_attention",
49
+ "full_attention",
50
+ "full_attention",
51
+ "full_attention",
52
+ "full_attention",
53
+ "full_attention",
54
+ "full_attention",
55
+ "full_attention",
56
+ "full_attention",
57
+ "full_attention",
58
+ "full_attention",
59
+ "full_attention",
60
+ "full_attention"
61
+ ],
62
+ "max_position_embeddings": 32768,
63
+ "max_window_layers": 48,
64
+ "model_type": "qwen2",
65
+ "num_attention_heads": 40,
66
+ "num_hidden_layers": 48,
67
+ "num_key_value_heads": 8,
68
+ "pad_token_id": 151643,
69
+ "rms_norm_eps": 1e-06,
70
+ "rope_scaling": null,
71
+ "rope_theta": 1000000.0,
72
+ "sliding_window": null,
73
+ "tie_word_embeddings": false,
74
+ "transformers_version": "4.57.1",
75
+ "use_cache": false,
76
+ "use_sliding_window": false,
77
+ "vocab_size": 152064
78
+ }
generation_config.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "do_sample": true,
3
+ "eos_token_id": [
4
+ 151645,
5
+ 151643
6
+ ],
7
+ "pad_token_id": 151643,
8
+ "repetition_penalty": 1.05,
9
+ "temperature": 0.7,
10
+ "top_k": 20,
11
+ "top_p": 0.8,
12
+ "transformers_version": "4.57.1"
13
+ }
merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
model-00001-of-00006.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:905a33f6f15f23da076b5ef29c36ce134c763e36ff339a831ba289a59629100f
3
+ size 4986211280
model-00002-of-00006.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:181bcd9823d7bbec23fad8cb7c6aaa313e0a66e01717ff5993d83a63ac921897
3
+ size 4954847344
model-00003-of-00006.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3f594e6cabc4bda2f816ac0fb0808dfeff31c43d2da200514826fcea192cabce
3
+ size 4954847392
model-00004-of-00006.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4e849ec037e251fc2c7400f974b1b9d3053f8af1203602d69c9caadf8850d517
3
+ size 4954847392
model-00005-of-00006.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:191e5eac2f793be5619df04b1c7fdc250491799fc068a2b929d90b01fb23e92d
3
+ size 4954847392
model-00006-of-00006.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:988b966f0b70efd8251b372783d9f4a7bf9f4d9343ba191ebb6c77edb9a0c683
3
+ size 4734533160
model.safetensors.index.json ADDED
@@ -0,0 +1,587 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_parameters": 840704,
4
+ "total_size": 29540067328
5
+ },
6
+ "weight_map": {
7
+ "lm_head.weight": "model-00006-of-00006.safetensors",
8
+ "model.embed_tokens.weight": "model-00001-of-00006.safetensors",
9
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00006.safetensors",
10
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
11
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
12
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
13
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
14
+ "model.layers.0.self_attn.k_proj.bias": "model-00001-of-00006.safetensors",
15
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
16
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
17
+ "model.layers.0.self_attn.q_proj.bias": "model-00001-of-00006.safetensors",
18
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
19
+ "model.layers.0.self_attn.v_proj.bias": "model-00001-of-00006.safetensors",
20
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
21
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00006.safetensors",
22
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
23
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
24
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
25
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
26
+ "model.layers.1.self_attn.k_proj.bias": "model-00001-of-00006.safetensors",
27
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
28
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
29
+ "model.layers.1.self_attn.q_proj.bias": "model-00001-of-00006.safetensors",
30
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
31
+ "model.layers.1.self_attn.v_proj.bias": "model-00001-of-00006.safetensors",
32
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
33
+ "model.layers.10.input_layernorm.weight": "model-00002-of-00006.safetensors",
34
+ "model.layers.10.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
35
+ "model.layers.10.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
36
+ "model.layers.10.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
37
+ "model.layers.10.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
38
+ "model.layers.10.self_attn.k_proj.bias": "model-00002-of-00006.safetensors",
39
+ "model.layers.10.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
40
+ "model.layers.10.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
41
+ "model.layers.10.self_attn.q_proj.bias": "model-00002-of-00006.safetensors",
42
+ "model.layers.10.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
43
+ "model.layers.10.self_attn.v_proj.bias": "model-00002-of-00006.safetensors",
44
+ "model.layers.10.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
45
+ "model.layers.11.input_layernorm.weight": "model-00002-of-00006.safetensors",
46
+ "model.layers.11.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
47
+ "model.layers.11.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
48
+ "model.layers.11.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
49
+ "model.layers.11.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
50
+ "model.layers.11.self_attn.k_proj.bias": "model-00002-of-00006.safetensors",
51
+ "model.layers.11.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
52
+ "model.layers.11.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
53
+ "model.layers.11.self_attn.q_proj.bias": "model-00002-of-00006.safetensors",
54
+ "model.layers.11.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
55
+ "model.layers.11.self_attn.v_proj.bias": "model-00002-of-00006.safetensors",
56
+ "model.layers.11.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
57
+ "model.layers.12.input_layernorm.weight": "model-00002-of-00006.safetensors",
58
+ "model.layers.12.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
59
+ "model.layers.12.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
60
+ "model.layers.12.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
61
+ "model.layers.12.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
62
+ "model.layers.12.self_attn.k_proj.bias": "model-00002-of-00006.safetensors",
63
+ "model.layers.12.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
64
+ "model.layers.12.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
65
+ "model.layers.12.self_attn.q_proj.bias": "model-00002-of-00006.safetensors",
66
+ "model.layers.12.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
67
+ "model.layers.12.self_attn.v_proj.bias": "model-00002-of-00006.safetensors",
68
+ "model.layers.12.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
69
+ "model.layers.13.input_layernorm.weight": "model-00002-of-00006.safetensors",
70
+ "model.layers.13.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
71
+ "model.layers.13.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
72
+ "model.layers.13.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
73
+ "model.layers.13.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
74
+ "model.layers.13.self_attn.k_proj.bias": "model-00002-of-00006.safetensors",
75
+ "model.layers.13.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
76
+ "model.layers.13.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
77
+ "model.layers.13.self_attn.q_proj.bias": "model-00002-of-00006.safetensors",
78
+ "model.layers.13.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
79
+ "model.layers.13.self_attn.v_proj.bias": "model-00002-of-00006.safetensors",
80
+ "model.layers.13.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
81
+ "model.layers.14.input_layernorm.weight": "model-00002-of-00006.safetensors",
82
+ "model.layers.14.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
83
+ "model.layers.14.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
84
+ "model.layers.14.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
85
+ "model.layers.14.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
86
+ "model.layers.14.self_attn.k_proj.bias": "model-00002-of-00006.safetensors",
87
+ "model.layers.14.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
88
+ "model.layers.14.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
89
+ "model.layers.14.self_attn.q_proj.bias": "model-00002-of-00006.safetensors",
90
+ "model.layers.14.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
91
+ "model.layers.14.self_attn.v_proj.bias": "model-00002-of-00006.safetensors",
92
+ "model.layers.14.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
93
+ "model.layers.15.input_layernorm.weight": "model-00003-of-00006.safetensors",
94
+ "model.layers.15.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
95
+ "model.layers.15.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
96
+ "model.layers.15.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
97
+ "model.layers.15.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
98
+ "model.layers.15.self_attn.k_proj.bias": "model-00002-of-00006.safetensors",
99
+ "model.layers.15.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
100
+ "model.layers.15.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
101
+ "model.layers.15.self_attn.q_proj.bias": "model-00002-of-00006.safetensors",
102
+ "model.layers.15.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
103
+ "model.layers.15.self_attn.v_proj.bias": "model-00002-of-00006.safetensors",
104
+ "model.layers.15.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
105
+ "model.layers.16.input_layernorm.weight": "model-00003-of-00006.safetensors",
106
+ "model.layers.16.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
107
+ "model.layers.16.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
108
+ "model.layers.16.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
109
+ "model.layers.16.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
110
+ "model.layers.16.self_attn.k_proj.bias": "model-00003-of-00006.safetensors",
111
+ "model.layers.16.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
112
+ "model.layers.16.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
113
+ "model.layers.16.self_attn.q_proj.bias": "model-00003-of-00006.safetensors",
114
+ "model.layers.16.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
115
+ "model.layers.16.self_attn.v_proj.bias": "model-00003-of-00006.safetensors",
116
+ "model.layers.16.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
117
+ "model.layers.17.input_layernorm.weight": "model-00003-of-00006.safetensors",
118
+ "model.layers.17.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
119
+ "model.layers.17.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
120
+ "model.layers.17.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
121
+ "model.layers.17.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
122
+ "model.layers.17.self_attn.k_proj.bias": "model-00003-of-00006.safetensors",
123
+ "model.layers.17.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
124
+ "model.layers.17.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
125
+ "model.layers.17.self_attn.q_proj.bias": "model-00003-of-00006.safetensors",
126
+ "model.layers.17.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
127
+ "model.layers.17.self_attn.v_proj.bias": "model-00003-of-00006.safetensors",
128
+ "model.layers.17.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
129
+ "model.layers.18.input_layernorm.weight": "model-00003-of-00006.safetensors",
130
+ "model.layers.18.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
131
+ "model.layers.18.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
132
+ "model.layers.18.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
133
+ "model.layers.18.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
134
+ "model.layers.18.self_attn.k_proj.bias": "model-00003-of-00006.safetensors",
135
+ "model.layers.18.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
136
+ "model.layers.18.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
137
+ "model.layers.18.self_attn.q_proj.bias": "model-00003-of-00006.safetensors",
138
+ "model.layers.18.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
139
+ "model.layers.18.self_attn.v_proj.bias": "model-00003-of-00006.safetensors",
140
+ "model.layers.18.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
141
+ "model.layers.19.input_layernorm.weight": "model-00003-of-00006.safetensors",
142
+ "model.layers.19.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
143
+ "model.layers.19.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
144
+ "model.layers.19.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
145
+ "model.layers.19.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
146
+ "model.layers.19.self_attn.k_proj.bias": "model-00003-of-00006.safetensors",
147
+ "model.layers.19.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
148
+ "model.layers.19.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
149
+ "model.layers.19.self_attn.q_proj.bias": "model-00003-of-00006.safetensors",
150
+ "model.layers.19.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
151
+ "model.layers.19.self_attn.v_proj.bias": "model-00003-of-00006.safetensors",
152
+ "model.layers.19.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
153
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00006.safetensors",
154
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
155
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
156
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
157
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
158
+ "model.layers.2.self_attn.k_proj.bias": "model-00001-of-00006.safetensors",
159
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
160
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
161
+ "model.layers.2.self_attn.q_proj.bias": "model-00001-of-00006.safetensors",
162
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
163
+ "model.layers.2.self_attn.v_proj.bias": "model-00001-of-00006.safetensors",
164
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
165
+ "model.layers.20.input_layernorm.weight": "model-00003-of-00006.safetensors",
166
+ "model.layers.20.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
167
+ "model.layers.20.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
168
+ "model.layers.20.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
169
+ "model.layers.20.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
170
+ "model.layers.20.self_attn.k_proj.bias": "model-00003-of-00006.safetensors",
171
+ "model.layers.20.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
172
+ "model.layers.20.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
173
+ "model.layers.20.self_attn.q_proj.bias": "model-00003-of-00006.safetensors",
174
+ "model.layers.20.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
175
+ "model.layers.20.self_attn.v_proj.bias": "model-00003-of-00006.safetensors",
176
+ "model.layers.20.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
177
+ "model.layers.21.input_layernorm.weight": "model-00003-of-00006.safetensors",
178
+ "model.layers.21.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
179
+ "model.layers.21.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
180
+ "model.layers.21.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
181
+ "model.layers.21.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
182
+ "model.layers.21.self_attn.k_proj.bias": "model-00003-of-00006.safetensors",
183
+ "model.layers.21.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
184
+ "model.layers.21.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
185
+ "model.layers.21.self_attn.q_proj.bias": "model-00003-of-00006.safetensors",
186
+ "model.layers.21.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
187
+ "model.layers.21.self_attn.v_proj.bias": "model-00003-of-00006.safetensors",
188
+ "model.layers.21.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
189
+ "model.layers.22.input_layernorm.weight": "model-00003-of-00006.safetensors",
190
+ "model.layers.22.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
191
+ "model.layers.22.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
192
+ "model.layers.22.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
193
+ "model.layers.22.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
194
+ "model.layers.22.self_attn.k_proj.bias": "model-00003-of-00006.safetensors",
195
+ "model.layers.22.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
196
+ "model.layers.22.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
197
+ "model.layers.22.self_attn.q_proj.bias": "model-00003-of-00006.safetensors",
198
+ "model.layers.22.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
199
+ "model.layers.22.self_attn.v_proj.bias": "model-00003-of-00006.safetensors",
200
+ "model.layers.22.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
201
+ "model.layers.23.input_layernorm.weight": "model-00003-of-00006.safetensors",
202
+ "model.layers.23.mlp.down_proj.weight": "model-00003-of-00006.safetensors",
203
+ "model.layers.23.mlp.gate_proj.weight": "model-00003-of-00006.safetensors",
204
+ "model.layers.23.mlp.up_proj.weight": "model-00003-of-00006.safetensors",
205
+ "model.layers.23.post_attention_layernorm.weight": "model-00003-of-00006.safetensors",
206
+ "model.layers.23.self_attn.k_proj.bias": "model-00003-of-00006.safetensors",
207
+ "model.layers.23.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
208
+ "model.layers.23.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
209
+ "model.layers.23.self_attn.q_proj.bias": "model-00003-of-00006.safetensors",
210
+ "model.layers.23.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
211
+ "model.layers.23.self_attn.v_proj.bias": "model-00003-of-00006.safetensors",
212
+ "model.layers.23.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
213
+ "model.layers.24.input_layernorm.weight": "model-00004-of-00006.safetensors",
214
+ "model.layers.24.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
215
+ "model.layers.24.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
216
+ "model.layers.24.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
217
+ "model.layers.24.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
218
+ "model.layers.24.self_attn.k_proj.bias": "model-00003-of-00006.safetensors",
219
+ "model.layers.24.self_attn.k_proj.weight": "model-00003-of-00006.safetensors",
220
+ "model.layers.24.self_attn.o_proj.weight": "model-00003-of-00006.safetensors",
221
+ "model.layers.24.self_attn.q_proj.bias": "model-00003-of-00006.safetensors",
222
+ "model.layers.24.self_attn.q_proj.weight": "model-00003-of-00006.safetensors",
223
+ "model.layers.24.self_attn.v_proj.bias": "model-00003-of-00006.safetensors",
224
+ "model.layers.24.self_attn.v_proj.weight": "model-00003-of-00006.safetensors",
225
+ "model.layers.25.input_layernorm.weight": "model-00004-of-00006.safetensors",
226
+ "model.layers.25.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
227
+ "model.layers.25.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
228
+ "model.layers.25.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
229
+ "model.layers.25.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
230
+ "model.layers.25.self_attn.k_proj.bias": "model-00004-of-00006.safetensors",
231
+ "model.layers.25.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
232
+ "model.layers.25.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
233
+ "model.layers.25.self_attn.q_proj.bias": "model-00004-of-00006.safetensors",
234
+ "model.layers.25.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
235
+ "model.layers.25.self_attn.v_proj.bias": "model-00004-of-00006.safetensors",
236
+ "model.layers.25.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
237
+ "model.layers.26.input_layernorm.weight": "model-00004-of-00006.safetensors",
238
+ "model.layers.26.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
239
+ "model.layers.26.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
240
+ "model.layers.26.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
241
+ "model.layers.26.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
242
+ "model.layers.26.self_attn.k_proj.bias": "model-00004-of-00006.safetensors",
243
+ "model.layers.26.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
244
+ "model.layers.26.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
245
+ "model.layers.26.self_attn.q_proj.bias": "model-00004-of-00006.safetensors",
246
+ "model.layers.26.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
247
+ "model.layers.26.self_attn.v_proj.bias": "model-00004-of-00006.safetensors",
248
+ "model.layers.26.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
249
+ "model.layers.27.input_layernorm.weight": "model-00004-of-00006.safetensors",
250
+ "model.layers.27.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
251
+ "model.layers.27.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
252
+ "model.layers.27.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
253
+ "model.layers.27.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
254
+ "model.layers.27.self_attn.k_proj.bias": "model-00004-of-00006.safetensors",
255
+ "model.layers.27.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
256
+ "model.layers.27.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
257
+ "model.layers.27.self_attn.q_proj.bias": "model-00004-of-00006.safetensors",
258
+ "model.layers.27.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
259
+ "model.layers.27.self_attn.v_proj.bias": "model-00004-of-00006.safetensors",
260
+ "model.layers.27.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
261
+ "model.layers.28.input_layernorm.weight": "model-00004-of-00006.safetensors",
262
+ "model.layers.28.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
263
+ "model.layers.28.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
264
+ "model.layers.28.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
265
+ "model.layers.28.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
266
+ "model.layers.28.self_attn.k_proj.bias": "model-00004-of-00006.safetensors",
267
+ "model.layers.28.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
268
+ "model.layers.28.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
269
+ "model.layers.28.self_attn.q_proj.bias": "model-00004-of-00006.safetensors",
270
+ "model.layers.28.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
271
+ "model.layers.28.self_attn.v_proj.bias": "model-00004-of-00006.safetensors",
272
+ "model.layers.28.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
273
+ "model.layers.29.input_layernorm.weight": "model-00004-of-00006.safetensors",
274
+ "model.layers.29.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
275
+ "model.layers.29.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
276
+ "model.layers.29.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
277
+ "model.layers.29.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
278
+ "model.layers.29.self_attn.k_proj.bias": "model-00004-of-00006.safetensors",
279
+ "model.layers.29.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
280
+ "model.layers.29.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
281
+ "model.layers.29.self_attn.q_proj.bias": "model-00004-of-00006.safetensors",
282
+ "model.layers.29.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
283
+ "model.layers.29.self_attn.v_proj.bias": "model-00004-of-00006.safetensors",
284
+ "model.layers.29.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
285
+ "model.layers.3.input_layernorm.weight": "model-00001-of-00006.safetensors",
286
+ "model.layers.3.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
287
+ "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
288
+ "model.layers.3.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
289
+ "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
290
+ "model.layers.3.self_attn.k_proj.bias": "model-00001-of-00006.safetensors",
291
+ "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
292
+ "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
293
+ "model.layers.3.self_attn.q_proj.bias": "model-00001-of-00006.safetensors",
294
+ "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
295
+ "model.layers.3.self_attn.v_proj.bias": "model-00001-of-00006.safetensors",
296
+ "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
297
+ "model.layers.30.input_layernorm.weight": "model-00004-of-00006.safetensors",
298
+ "model.layers.30.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
299
+ "model.layers.30.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
300
+ "model.layers.30.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
301
+ "model.layers.30.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
302
+ "model.layers.30.self_attn.k_proj.bias": "model-00004-of-00006.safetensors",
303
+ "model.layers.30.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
304
+ "model.layers.30.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
305
+ "model.layers.30.self_attn.q_proj.bias": "model-00004-of-00006.safetensors",
306
+ "model.layers.30.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
307
+ "model.layers.30.self_attn.v_proj.bias": "model-00004-of-00006.safetensors",
308
+ "model.layers.30.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
309
+ "model.layers.31.input_layernorm.weight": "model-00004-of-00006.safetensors",
310
+ "model.layers.31.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
311
+ "model.layers.31.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
312
+ "model.layers.31.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
313
+ "model.layers.31.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
314
+ "model.layers.31.self_attn.k_proj.bias": "model-00004-of-00006.safetensors",
315
+ "model.layers.31.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
316
+ "model.layers.31.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
317
+ "model.layers.31.self_attn.q_proj.bias": "model-00004-of-00006.safetensors",
318
+ "model.layers.31.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
319
+ "model.layers.31.self_attn.v_proj.bias": "model-00004-of-00006.safetensors",
320
+ "model.layers.31.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
321
+ "model.layers.32.input_layernorm.weight": "model-00004-of-00006.safetensors",
322
+ "model.layers.32.mlp.down_proj.weight": "model-00004-of-00006.safetensors",
323
+ "model.layers.32.mlp.gate_proj.weight": "model-00004-of-00006.safetensors",
324
+ "model.layers.32.mlp.up_proj.weight": "model-00004-of-00006.safetensors",
325
+ "model.layers.32.post_attention_layernorm.weight": "model-00004-of-00006.safetensors",
326
+ "model.layers.32.self_attn.k_proj.bias": "model-00004-of-00006.safetensors",
327
+ "model.layers.32.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
328
+ "model.layers.32.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
329
+ "model.layers.32.self_attn.q_proj.bias": "model-00004-of-00006.safetensors",
330
+ "model.layers.32.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
331
+ "model.layers.32.self_attn.v_proj.bias": "model-00004-of-00006.safetensors",
332
+ "model.layers.32.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
333
+ "model.layers.33.input_layernorm.weight": "model-00005-of-00006.safetensors",
334
+ "model.layers.33.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
335
+ "model.layers.33.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
336
+ "model.layers.33.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
337
+ "model.layers.33.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
338
+ "model.layers.33.self_attn.k_proj.bias": "model-00004-of-00006.safetensors",
339
+ "model.layers.33.self_attn.k_proj.weight": "model-00004-of-00006.safetensors",
340
+ "model.layers.33.self_attn.o_proj.weight": "model-00004-of-00006.safetensors",
341
+ "model.layers.33.self_attn.q_proj.bias": "model-00004-of-00006.safetensors",
342
+ "model.layers.33.self_attn.q_proj.weight": "model-00004-of-00006.safetensors",
343
+ "model.layers.33.self_attn.v_proj.bias": "model-00004-of-00006.safetensors",
344
+ "model.layers.33.self_attn.v_proj.weight": "model-00004-of-00006.safetensors",
345
+ "model.layers.34.input_layernorm.weight": "model-00005-of-00006.safetensors",
346
+ "model.layers.34.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
347
+ "model.layers.34.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
348
+ "model.layers.34.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
349
+ "model.layers.34.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
350
+ "model.layers.34.self_attn.k_proj.bias": "model-00005-of-00006.safetensors",
351
+ "model.layers.34.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
352
+ "model.layers.34.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
353
+ "model.layers.34.self_attn.q_proj.bias": "model-00005-of-00006.safetensors",
354
+ "model.layers.34.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
355
+ "model.layers.34.self_attn.v_proj.bias": "model-00005-of-00006.safetensors",
356
+ "model.layers.34.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
357
+ "model.layers.35.input_layernorm.weight": "model-00005-of-00006.safetensors",
358
+ "model.layers.35.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
359
+ "model.layers.35.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
360
+ "model.layers.35.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
361
+ "model.layers.35.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
362
+ "model.layers.35.self_attn.k_proj.bias": "model-00005-of-00006.safetensors",
363
+ "model.layers.35.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
364
+ "model.layers.35.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
365
+ "model.layers.35.self_attn.q_proj.bias": "model-00005-of-00006.safetensors",
366
+ "model.layers.35.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
367
+ "model.layers.35.self_attn.v_proj.bias": "model-00005-of-00006.safetensors",
368
+ "model.layers.35.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
369
+ "model.layers.36.input_layernorm.weight": "model-00005-of-00006.safetensors",
370
+ "model.layers.36.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
371
+ "model.layers.36.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
372
+ "model.layers.36.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
373
+ "model.layers.36.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
374
+ "model.layers.36.self_attn.k_proj.bias": "model-00005-of-00006.safetensors",
375
+ "model.layers.36.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
376
+ "model.layers.36.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
377
+ "model.layers.36.self_attn.q_proj.bias": "model-00005-of-00006.safetensors",
378
+ "model.layers.36.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
379
+ "model.layers.36.self_attn.v_proj.bias": "model-00005-of-00006.safetensors",
380
+ "model.layers.36.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
381
+ "model.layers.37.input_layernorm.weight": "model-00005-of-00006.safetensors",
382
+ "model.layers.37.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
383
+ "model.layers.37.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
384
+ "model.layers.37.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
385
+ "model.layers.37.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
386
+ "model.layers.37.self_attn.k_proj.bias": "model-00005-of-00006.safetensors",
387
+ "model.layers.37.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
388
+ "model.layers.37.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
389
+ "model.layers.37.self_attn.q_proj.bias": "model-00005-of-00006.safetensors",
390
+ "model.layers.37.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
391
+ "model.layers.37.self_attn.v_proj.bias": "model-00005-of-00006.safetensors",
392
+ "model.layers.37.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
393
+ "model.layers.38.input_layernorm.weight": "model-00005-of-00006.safetensors",
394
+ "model.layers.38.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
395
+ "model.layers.38.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
396
+ "model.layers.38.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
397
+ "model.layers.38.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
398
+ "model.layers.38.self_attn.k_proj.bias": "model-00005-of-00006.safetensors",
399
+ "model.layers.38.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
400
+ "model.layers.38.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
401
+ "model.layers.38.self_attn.q_proj.bias": "model-00005-of-00006.safetensors",
402
+ "model.layers.38.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
403
+ "model.layers.38.self_attn.v_proj.bias": "model-00005-of-00006.safetensors",
404
+ "model.layers.38.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
405
+ "model.layers.39.input_layernorm.weight": "model-00005-of-00006.safetensors",
406
+ "model.layers.39.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
407
+ "model.layers.39.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
408
+ "model.layers.39.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
409
+ "model.layers.39.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
410
+ "model.layers.39.self_attn.k_proj.bias": "model-00005-of-00006.safetensors",
411
+ "model.layers.39.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
412
+ "model.layers.39.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
413
+ "model.layers.39.self_attn.q_proj.bias": "model-00005-of-00006.safetensors",
414
+ "model.layers.39.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
415
+ "model.layers.39.self_attn.v_proj.bias": "model-00005-of-00006.safetensors",
416
+ "model.layers.39.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
417
+ "model.layers.4.input_layernorm.weight": "model-00001-of-00006.safetensors",
418
+ "model.layers.4.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
419
+ "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
420
+ "model.layers.4.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
421
+ "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
422
+ "model.layers.4.self_attn.k_proj.bias": "model-00001-of-00006.safetensors",
423
+ "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
424
+ "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
425
+ "model.layers.4.self_attn.q_proj.bias": "model-00001-of-00006.safetensors",
426
+ "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
427
+ "model.layers.4.self_attn.v_proj.bias": "model-00001-of-00006.safetensors",
428
+ "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
429
+ "model.layers.40.input_layernorm.weight": "model-00005-of-00006.safetensors",
430
+ "model.layers.40.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
431
+ "model.layers.40.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
432
+ "model.layers.40.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
433
+ "model.layers.40.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
434
+ "model.layers.40.self_attn.k_proj.bias": "model-00005-of-00006.safetensors",
435
+ "model.layers.40.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
436
+ "model.layers.40.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
437
+ "model.layers.40.self_attn.q_proj.bias": "model-00005-of-00006.safetensors",
438
+ "model.layers.40.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
439
+ "model.layers.40.self_attn.v_proj.bias": "model-00005-of-00006.safetensors",
440
+ "model.layers.40.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
441
+ "model.layers.41.input_layernorm.weight": "model-00005-of-00006.safetensors",
442
+ "model.layers.41.mlp.down_proj.weight": "model-00005-of-00006.safetensors",
443
+ "model.layers.41.mlp.gate_proj.weight": "model-00005-of-00006.safetensors",
444
+ "model.layers.41.mlp.up_proj.weight": "model-00005-of-00006.safetensors",
445
+ "model.layers.41.post_attention_layernorm.weight": "model-00005-of-00006.safetensors",
446
+ "model.layers.41.self_attn.k_proj.bias": "model-00005-of-00006.safetensors",
447
+ "model.layers.41.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
448
+ "model.layers.41.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
449
+ "model.layers.41.self_attn.q_proj.bias": "model-00005-of-00006.safetensors",
450
+ "model.layers.41.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
451
+ "model.layers.41.self_attn.v_proj.bias": "model-00005-of-00006.safetensors",
452
+ "model.layers.41.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
453
+ "model.layers.42.input_layernorm.weight": "model-00006-of-00006.safetensors",
454
+ "model.layers.42.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
455
+ "model.layers.42.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
456
+ "model.layers.42.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
457
+ "model.layers.42.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
458
+ "model.layers.42.self_attn.k_proj.bias": "model-00005-of-00006.safetensors",
459
+ "model.layers.42.self_attn.k_proj.weight": "model-00005-of-00006.safetensors",
460
+ "model.layers.42.self_attn.o_proj.weight": "model-00005-of-00006.safetensors",
461
+ "model.layers.42.self_attn.q_proj.bias": "model-00005-of-00006.safetensors",
462
+ "model.layers.42.self_attn.q_proj.weight": "model-00005-of-00006.safetensors",
463
+ "model.layers.42.self_attn.v_proj.bias": "model-00005-of-00006.safetensors",
464
+ "model.layers.42.self_attn.v_proj.weight": "model-00005-of-00006.safetensors",
465
+ "model.layers.43.input_layernorm.weight": "model-00006-of-00006.safetensors",
466
+ "model.layers.43.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
467
+ "model.layers.43.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
468
+ "model.layers.43.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
469
+ "model.layers.43.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
470
+ "model.layers.43.self_attn.k_proj.bias": "model-00006-of-00006.safetensors",
471
+ "model.layers.43.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
472
+ "model.layers.43.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
473
+ "model.layers.43.self_attn.q_proj.bias": "model-00006-of-00006.safetensors",
474
+ "model.layers.43.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
475
+ "model.layers.43.self_attn.v_proj.bias": "model-00006-of-00006.safetensors",
476
+ "model.layers.43.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
477
+ "model.layers.44.input_layernorm.weight": "model-00006-of-00006.safetensors",
478
+ "model.layers.44.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
479
+ "model.layers.44.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
480
+ "model.layers.44.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
481
+ "model.layers.44.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
482
+ "model.layers.44.self_attn.k_proj.bias": "model-00006-of-00006.safetensors",
483
+ "model.layers.44.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
484
+ "model.layers.44.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
485
+ "model.layers.44.self_attn.q_proj.bias": "model-00006-of-00006.safetensors",
486
+ "model.layers.44.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
487
+ "model.layers.44.self_attn.v_proj.bias": "model-00006-of-00006.safetensors",
488
+ "model.layers.44.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
489
+ "model.layers.45.input_layernorm.weight": "model-00006-of-00006.safetensors",
490
+ "model.layers.45.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
491
+ "model.layers.45.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
492
+ "model.layers.45.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
493
+ "model.layers.45.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
494
+ "model.layers.45.self_attn.k_proj.bias": "model-00006-of-00006.safetensors",
495
+ "model.layers.45.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
496
+ "model.layers.45.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
497
+ "model.layers.45.self_attn.q_proj.bias": "model-00006-of-00006.safetensors",
498
+ "model.layers.45.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
499
+ "model.layers.45.self_attn.v_proj.bias": "model-00006-of-00006.safetensors",
500
+ "model.layers.45.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
501
+ "model.layers.46.input_layernorm.weight": "model-00006-of-00006.safetensors",
502
+ "model.layers.46.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
503
+ "model.layers.46.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
504
+ "model.layers.46.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
505
+ "model.layers.46.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
506
+ "model.layers.46.self_attn.k_proj.bias": "model-00006-of-00006.safetensors",
507
+ "model.layers.46.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
508
+ "model.layers.46.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
509
+ "model.layers.46.self_attn.q_proj.bias": "model-00006-of-00006.safetensors",
510
+ "model.layers.46.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
511
+ "model.layers.46.self_attn.v_proj.bias": "model-00006-of-00006.safetensors",
512
+ "model.layers.46.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
513
+ "model.layers.47.input_layernorm.weight": "model-00006-of-00006.safetensors",
514
+ "model.layers.47.mlp.down_proj.weight": "model-00006-of-00006.safetensors",
515
+ "model.layers.47.mlp.gate_proj.weight": "model-00006-of-00006.safetensors",
516
+ "model.layers.47.mlp.up_proj.weight": "model-00006-of-00006.safetensors",
517
+ "model.layers.47.post_attention_layernorm.weight": "model-00006-of-00006.safetensors",
518
+ "model.layers.47.self_attn.k_proj.bias": "model-00006-of-00006.safetensors",
519
+ "model.layers.47.self_attn.k_proj.weight": "model-00006-of-00006.safetensors",
520
+ "model.layers.47.self_attn.o_proj.weight": "model-00006-of-00006.safetensors",
521
+ "model.layers.47.self_attn.q_proj.bias": "model-00006-of-00006.safetensors",
522
+ "model.layers.47.self_attn.q_proj.weight": "model-00006-of-00006.safetensors",
523
+ "model.layers.47.self_attn.v_proj.bias": "model-00006-of-00006.safetensors",
524
+ "model.layers.47.self_attn.v_proj.weight": "model-00006-of-00006.safetensors",
525
+ "model.layers.5.input_layernorm.weight": "model-00001-of-00006.safetensors",
526
+ "model.layers.5.mlp.down_proj.weight": "model-00001-of-00006.safetensors",
527
+ "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00006.safetensors",
528
+ "model.layers.5.mlp.up_proj.weight": "model-00001-of-00006.safetensors",
529
+ "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00006.safetensors",
530
+ "model.layers.5.self_attn.k_proj.bias": "model-00001-of-00006.safetensors",
531
+ "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
532
+ "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
533
+ "model.layers.5.self_attn.q_proj.bias": "model-00001-of-00006.safetensors",
534
+ "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
535
+ "model.layers.5.self_attn.v_proj.bias": "model-00001-of-00006.safetensors",
536
+ "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
537
+ "model.layers.6.input_layernorm.weight": "model-00002-of-00006.safetensors",
538
+ "model.layers.6.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
539
+ "model.layers.6.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
540
+ "model.layers.6.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
541
+ "model.layers.6.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
542
+ "model.layers.6.self_attn.k_proj.bias": "model-00001-of-00006.safetensors",
543
+ "model.layers.6.self_attn.k_proj.weight": "model-00001-of-00006.safetensors",
544
+ "model.layers.6.self_attn.o_proj.weight": "model-00001-of-00006.safetensors",
545
+ "model.layers.6.self_attn.q_proj.bias": "model-00001-of-00006.safetensors",
546
+ "model.layers.6.self_attn.q_proj.weight": "model-00001-of-00006.safetensors",
547
+ "model.layers.6.self_attn.v_proj.bias": "model-00001-of-00006.safetensors",
548
+ "model.layers.6.self_attn.v_proj.weight": "model-00001-of-00006.safetensors",
549
+ "model.layers.7.input_layernorm.weight": "model-00002-of-00006.safetensors",
550
+ "model.layers.7.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
551
+ "model.layers.7.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
552
+ "model.layers.7.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
553
+ "model.layers.7.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
554
+ "model.layers.7.self_attn.k_proj.bias": "model-00002-of-00006.safetensors",
555
+ "model.layers.7.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
556
+ "model.layers.7.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
557
+ "model.layers.7.self_attn.q_proj.bias": "model-00002-of-00006.safetensors",
558
+ "model.layers.7.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
559
+ "model.layers.7.self_attn.v_proj.bias": "model-00002-of-00006.safetensors",
560
+ "model.layers.7.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
561
+ "model.layers.8.input_layernorm.weight": "model-00002-of-00006.safetensors",
562
+ "model.layers.8.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
563
+ "model.layers.8.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
564
+ "model.layers.8.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
565
+ "model.layers.8.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
566
+ "model.layers.8.self_attn.k_proj.bias": "model-00002-of-00006.safetensors",
567
+ "model.layers.8.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
568
+ "model.layers.8.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
569
+ "model.layers.8.self_attn.q_proj.bias": "model-00002-of-00006.safetensors",
570
+ "model.layers.8.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
571
+ "model.layers.8.self_attn.v_proj.bias": "model-00002-of-00006.safetensors",
572
+ "model.layers.8.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
573
+ "model.layers.9.input_layernorm.weight": "model-00002-of-00006.safetensors",
574
+ "model.layers.9.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
575
+ "model.layers.9.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
576
+ "model.layers.9.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
577
+ "model.layers.9.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
578
+ "model.layers.9.self_attn.k_proj.bias": "model-00002-of-00006.safetensors",
579
+ "model.layers.9.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
580
+ "model.layers.9.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
581
+ "model.layers.9.self_attn.q_proj.bias": "model-00002-of-00006.safetensors",
582
+ "model.layers.9.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
583
+ "model.layers.9.self_attn.v_proj.bias": "model-00002-of-00006.safetensors",
584
+ "model.layers.9.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
585
+ "model.norm.weight": "model-00006-of-00006.safetensors"
586
+ }
587
+ }
special_tokens_map.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>",
5
+ "<|object_ref_start|>",
6
+ "<|object_ref_end|>",
7
+ "<|box_start|>",
8
+ "<|box_end|>",
9
+ "<|quad_start|>",
10
+ "<|quad_end|>",
11
+ "<|vision_start|>",
12
+ "<|vision_end|>",
13
+ "<|vision_pad|>",
14
+ "<|image_pad|>",
15
+ "<|video_pad|>"
16
+ ],
17
+ "eos_token": {
18
+ "content": "<|im_end|>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ },
24
+ "pad_token": {
25
+ "content": "<|endoftext|>",
26
+ "lstrip": false,
27
+ "normalized": false,
28
+ "rstrip": false,
29
+ "single_word": false
30
+ }
31
+ }
tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
3
+ size 11421896
tokenizer_config.json ADDED
@@ -0,0 +1,208 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "151643": {
6
+ "content": "<|endoftext|>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "151644": {
14
+ "content": "<|im_start|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "151645": {
22
+ "content": "<|im_end|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "151646": {
30
+ "content": "<|object_ref_start|>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "151647": {
38
+ "content": "<|object_ref_end|>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "151648": {
46
+ "content": "<|box_start|>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "151649": {
54
+ "content": "<|box_end|>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": true
60
+ },
61
+ "151650": {
62
+ "content": "<|quad_start|>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": true
68
+ },
69
+ "151651": {
70
+ "content": "<|quad_end|>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": true
76
+ },
77
+ "151652": {
78
+ "content": "<|vision_start|>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": true
84
+ },
85
+ "151653": {
86
+ "content": "<|vision_end|>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": true
92
+ },
93
+ "151654": {
94
+ "content": "<|vision_pad|>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": true
100
+ },
101
+ "151655": {
102
+ "content": "<|image_pad|>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": true
108
+ },
109
+ "151656": {
110
+ "content": "<|video_pad|>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": true
116
+ },
117
+ "151657": {
118
+ "content": "<tool_call>",
119
+ "lstrip": false,
120
+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": false
124
+ },
125
+ "151658": {
126
+ "content": "</tool_call>",
127
+ "lstrip": false,
128
+ "normalized": false,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "151659": {
134
+ "content": "<|fim_prefix|>",
135
+ "lstrip": false,
136
+ "normalized": false,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "151660": {
142
+ "content": "<|fim_middle|>",
143
+ "lstrip": false,
144
+ "normalized": false,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "151661": {
150
+ "content": "<|fim_suffix|>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "151662": {
158
+ "content": "<|fim_pad|>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "151663": {
166
+ "content": "<|repo_name|>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "151664": {
174
+ "content": "<|file_sep|>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ }
181
+ },
182
+ "additional_special_tokens": [
183
+ "<|im_start|>",
184
+ "<|im_end|>",
185
+ "<|object_ref_start|>",
186
+ "<|object_ref_end|>",
187
+ "<|box_start|>",
188
+ "<|box_end|>",
189
+ "<|quad_start|>",
190
+ "<|quad_end|>",
191
+ "<|vision_start|>",
192
+ "<|vision_end|>",
193
+ "<|vision_pad|>",
194
+ "<|image_pad|>",
195
+ "<|video_pad|>"
196
+ ],
197
+ "bos_token": null,
198
+ "clean_up_tokenization_spaces": false,
199
+ "eos_token": "<|im_end|>",
200
+ "errors": "replace",
201
+ "extra_special_tokens": {},
202
+ "model_max_length": 32768,
203
+ "pad_token": "<|endoftext|>",
204
+ "padding_side": "right",
205
+ "split_special_tokens": false,
206
+ "tokenizer_class": "Qwen2Tokenizer",
207
+ "unk_token": null
208
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.0,
3
+ "total_flos": 1.995296975397847e+17,
4
+ "train_loss": 0.15181401895709556,
5
+ "train_runtime": 29257.7471,
6
+ "train_samples_per_second": 0.221,
7
+ "train_steps_per_second": 0.028
8
+ }
trainer_log.jsonl ADDED
@@ -0,0 +1,81 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"current_steps": 10, "total_steps": 808, "loss": 0.4428, "lr": 1.111111111111111e-06, "epoch": 0.024752475247524754, "percentage": 1.24, "elapsed_time": "0:06:05", "remaining_time": "8:05:58"}
2
+ {"current_steps": 20, "total_steps": 808, "loss": 0.4068, "lr": 2.345679012345679e-06, "epoch": 0.04950495049504951, "percentage": 2.48, "elapsed_time": "0:11:58", "remaining_time": "7:51:40"}
3
+ {"current_steps": 30, "total_steps": 808, "loss": 0.3273, "lr": 3.580246913580247e-06, "epoch": 0.07425742574257425, "percentage": 3.71, "elapsed_time": "0:17:54", "remaining_time": "7:44:17"}
4
+ {"current_steps": 40, "total_steps": 808, "loss": 0.2622, "lr": 4.814814814814815e-06, "epoch": 0.09900990099009901, "percentage": 4.95, "elapsed_time": "0:23:56", "remaining_time": "7:39:34"}
5
+ {"current_steps": 50, "total_steps": 808, "loss": 0.2315, "lr": 6.049382716049383e-06, "epoch": 0.12376237623762376, "percentage": 6.19, "elapsed_time": "0:29:56", "remaining_time": "7:33:50"}
6
+ {"current_steps": 60, "total_steps": 808, "loss": 0.225, "lr": 7.283950617283952e-06, "epoch": 0.1485148514851485, "percentage": 7.43, "elapsed_time": "0:35:43", "remaining_time": "7:25:27"}
7
+ {"current_steps": 70, "total_steps": 808, "loss": 0.2078, "lr": 8.518518518518519e-06, "epoch": 0.17326732673267325, "percentage": 8.66, "elapsed_time": "0:41:30", "remaining_time": "7:17:35"}
8
+ {"current_steps": 80, "total_steps": 808, "loss": 0.2007, "lr": 9.753086419753087e-06, "epoch": 0.19801980198019803, "percentage": 9.9, "elapsed_time": "0:47:24", "remaining_time": "7:11:21"}
9
+ {"current_steps": 90, "total_steps": 808, "loss": 0.2115, "lr": 9.997012501794273e-06, "epoch": 0.22277227722772278, "percentage": 11.14, "elapsed_time": "0:53:12", "remaining_time": "7:04:28"}
10
+ {"current_steps": 100, "total_steps": 808, "loss": 0.1977, "lr": 9.984881908680157e-06, "epoch": 0.24752475247524752, "percentage": 12.38, "elapsed_time": "0:59:10", "remaining_time": "6:58:58"}
11
+ {"current_steps": 110, "total_steps": 808, "loss": 0.2044, "lr": 9.963444133394478e-06, "epoch": 0.2722772277227723, "percentage": 13.61, "elapsed_time": "1:05:05", "remaining_time": "6:53:02"}
12
+ {"current_steps": 120, "total_steps": 808, "loss": 0.1859, "lr": 9.93273920201681e-06, "epoch": 0.297029702970297, "percentage": 14.85, "elapsed_time": "1:11:07", "remaining_time": "6:47:44"}
13
+ {"current_steps": 130, "total_steps": 808, "loss": 0.1986, "lr": 9.892824443164987e-06, "epoch": 0.3217821782178218, "percentage": 16.09, "elapsed_time": "1:17:00", "remaining_time": "6:41:36"}
14
+ {"current_steps": 140, "total_steps": 808, "loss": 0.1972, "lr": 9.84377438095789e-06, "epoch": 0.3465346534653465, "percentage": 17.33, "elapsed_time": "1:22:49", "remaining_time": "6:35:09"}
15
+ {"current_steps": 150, "total_steps": 808, "loss": 0.1973, "lr": 9.785680595872824e-06, "epoch": 0.3712871287128713, "percentage": 18.56, "elapsed_time": "1:28:35", "remaining_time": "6:28:35"}
16
+ {"current_steps": 160, "total_steps": 808, "loss": 0.1848, "lr": 9.718651553757266e-06, "epoch": 0.39603960396039606, "percentage": 19.8, "elapsed_time": "1:34:32", "remaining_time": "6:22:55"}
17
+ {"current_steps": 170, "total_steps": 808, "loss": 0.1911, "lr": 9.642812403314272e-06, "epoch": 0.4207920792079208, "percentage": 21.04, "elapsed_time": "1:40:29", "remaining_time": "6:17:06"}
18
+ {"current_steps": 180, "total_steps": 808, "loss": 0.1925, "lr": 9.55830474243961e-06, "epoch": 0.44554455445544555, "percentage": 22.28, "elapsed_time": "1:46:24", "remaining_time": "6:11:16"}
19
+ {"current_steps": 190, "total_steps": 808, "loss": 0.1866, "lr": 9.465286353846905e-06, "epoch": 0.47029702970297027, "percentage": 23.51, "elapsed_time": "1:52:21", "remaining_time": "6:05:27"}
20
+ {"current_steps": 200, "total_steps": 808, "loss": 0.185, "lr": 9.36393091047441e-06, "epoch": 0.49504950495049505, "percentage": 24.75, "elapsed_time": "1:58:14", "remaining_time": "5:59:27"}
21
+ {"current_steps": 210, "total_steps": 808, "loss": 0.1848, "lr": 9.254427651223434e-06, "epoch": 0.5198019801980198, "percentage": 25.99, "elapsed_time": "2:06:22", "remaining_time": "5:59:52"}
22
+ {"current_steps": 220, "total_steps": 808, "loss": 0.1851, "lr": 9.136981027633834e-06, "epoch": 0.5445544554455446, "percentage": 27.23, "elapsed_time": "2:12:21", "remaining_time": "5:53:46"}
23
+ {"current_steps": 230, "total_steps": 808, "loss": 0.1948, "lr": 9.011810322156269e-06, "epoch": 0.5693069306930693, "percentage": 28.47, "elapsed_time": "2:17:57", "remaining_time": "5:46:41"}
24
+ {"current_steps": 240, "total_steps": 808, "loss": 0.1861, "lr": 8.879149238733932e-06, "epoch": 0.594059405940594, "percentage": 29.7, "elapsed_time": "2:23:56", "remaining_time": "5:40:40"}
25
+ {"current_steps": 250, "total_steps": 808, "loss": 0.1757, "lr": 8.739245466458187e-06, "epoch": 0.6188118811881188, "percentage": 30.94, "elapsed_time": "2:29:39", "remaining_time": "5:34:02"}
26
+ {"current_steps": 260, "total_steps": 808, "loss": 0.1794, "lr": 8.592360217112759e-06, "epoch": 0.6435643564356436, "percentage": 32.18, "elapsed_time": "2:35:37", "remaining_time": "5:28:01"}
27
+ {"current_steps": 270, "total_steps": 808, "loss": 0.1735, "lr": 8.438767737469995e-06, "epoch": 0.6683168316831684, "percentage": 33.42, "elapsed_time": "2:41:25", "remaining_time": "5:21:39"}
28
+ {"current_steps": 280, "total_steps": 808, "loss": 0.1713, "lr": 8.278754797249702e-06, "epoch": 0.693069306930693, "percentage": 34.65, "elapsed_time": "2:47:14", "remaining_time": "5:15:22"}
29
+ {"current_steps": 290, "total_steps": 808, "loss": 0.1761, "lr": 8.11262015369663e-06, "epoch": 0.7178217821782178, "percentage": 35.89, "elapsed_time": "2:53:06", "remaining_time": "5:09:13"}
30
+ {"current_steps": 300, "total_steps": 808, "loss": 0.1874, "lr": 7.940673993776258e-06, "epoch": 0.7425742574257426, "percentage": 37.13, "elapsed_time": "2:59:00", "remaining_time": "5:03:07"}
31
+ {"current_steps": 310, "total_steps": 808, "loss": 0.1683, "lr": 7.763237355030384e-06, "epoch": 0.7673267326732673, "percentage": 38.37, "elapsed_time": "3:04:50", "remaining_time": "4:56:55"}
32
+ {"current_steps": 320, "total_steps": 808, "loss": 0.1776, "lr": 7.580641526173758e-06, "epoch": 0.7920792079207921, "percentage": 39.6, "elapsed_time": "3:10:46", "remaining_time": "4:50:55"}
33
+ {"current_steps": 330, "total_steps": 808, "loss": 0.1861, "lr": 7.39322742855097e-06, "epoch": 0.8168316831683168, "percentage": 40.84, "elapsed_time": "3:16:36", "remaining_time": "4:44:47"}
34
+ {"current_steps": 340, "total_steps": 808, "loss": 0.1832, "lr": 7.201344979608423e-06, "epoch": 0.8415841584158416, "percentage": 42.08, "elapsed_time": "3:22:31", "remaining_time": "4:38:46"}
35
+ {"current_steps": 350, "total_steps": 808, "loss": 0.1778, "lr": 7.0053524395698345e-06, "epoch": 0.8663366336633663, "percentage": 43.32, "elapsed_time": "3:28:17", "remaining_time": "4:32:33"}
36
+ {"current_steps": 360, "total_steps": 808, "loss": 0.1712, "lr": 6.805615742535117e-06, "epoch": 0.8910891089108911, "percentage": 44.55, "elapsed_time": "3:34:14", "remaining_time": "4:26:36"}
37
+ {"current_steps": 370, "total_steps": 808, "loss": 0.1752, "lr": 6.602507813251478e-06, "epoch": 0.9158415841584159, "percentage": 45.79, "elapsed_time": "3:40:14", "remaining_time": "4:20:43"}
38
+ {"current_steps": 380, "total_steps": 808, "loss": 0.1691, "lr": 6.396407870832419e-06, "epoch": 0.9405940594059405, "percentage": 47.03, "elapsed_time": "3:46:12", "remaining_time": "4:14:46"}
39
+ {"current_steps": 390, "total_steps": 808, "loss": 0.1638, "lr": 6.187700720724648e-06, "epoch": 0.9653465346534653, "percentage": 48.27, "elapsed_time": "3:52:04", "remaining_time": "4:08:44"}
40
+ {"current_steps": 400, "total_steps": 808, "loss": 0.1715, "lr": 5.976776036244833e-06, "epoch": 0.9900990099009901, "percentage": 49.5, "elapsed_time": "3:57:50", "remaining_time": "4:02:35"}
41
+ {"current_steps": 410, "total_steps": 808, "loss": 0.1338, "lr": 5.764027631027659e-06, "epoch": 1.0148514851485149, "percentage": 50.74, "elapsed_time": "4:06:08", "remaining_time": "3:58:56"}
42
+ {"current_steps": 420, "total_steps": 808, "loss": 0.1068, "lr": 5.549852723743564e-06, "epoch": 1.0396039603960396, "percentage": 51.98, "elapsed_time": "4:12:07", "remaining_time": "3:52:55"}
43
+ {"current_steps": 430, "total_steps": 808, "loss": 0.1083, "lr": 5.334651196459003e-06, "epoch": 1.0643564356435644, "percentage": 53.22, "elapsed_time": "4:18:01", "remaining_time": "3:46:49"}
44
+ {"current_steps": 440, "total_steps": 808, "loss": 0.0991, "lr": 5.118824848023926e-06, "epoch": 1.0891089108910892, "percentage": 54.46, "elapsed_time": "4:23:56", "remaining_time": "3:40:45"}
45
+ {"current_steps": 450, "total_steps": 808, "loss": 0.1082, "lr": 4.902776643880461e-06, "epoch": 1.113861386138614, "percentage": 55.69, "elapsed_time": "4:29:56", "remaining_time": "3:34:45"}
46
+ {"current_steps": 460, "total_steps": 808, "loss": 0.0998, "lr": 4.686909963693498e-06, "epoch": 1.1386138613861387, "percentage": 56.93, "elapsed_time": "4:35:49", "remaining_time": "3:28:40"}
47
+ {"current_steps": 470, "total_steps": 808, "loss": 0.1, "lr": 4.47162784820784e-06, "epoch": 1.1633663366336633, "percentage": 58.17, "elapsed_time": "4:41:38", "remaining_time": "3:22:32"}
48
+ {"current_steps": 480, "total_steps": 808, "loss": 0.1019, "lr": 4.257332246738201e-06, "epoch": 1.188118811881188, "percentage": 59.41, "elapsed_time": "4:47:33", "remaining_time": "3:16:29"}
49
+ {"current_steps": 490, "total_steps": 808, "loss": 0.1051, "lr": 4.04442326669695e-06, "epoch": 1.2128712871287128, "percentage": 60.64, "elapsed_time": "4:53:23", "remaining_time": "3:10:24"}
50
+ {"current_steps": 500, "total_steps": 808, "loss": 0.1004, "lr": 3.833298426560851e-06, "epoch": 1.2376237623762376, "percentage": 61.88, "elapsed_time": "4:59:23", "remaining_time": "3:04:25"}
51
+ {"current_steps": 510, "total_steps": 808, "loss": 0.1014, "lr": 3.624351913671571e-06, "epoch": 1.2623762376237624, "percentage": 63.12, "elapsed_time": "5:05:16", "remaining_time": "2:58:22"}
52
+ {"current_steps": 520, "total_steps": 808, "loss": 0.1049, "lr": 3.4179738482556648e-06, "epoch": 1.2871287128712872, "percentage": 64.36, "elapsed_time": "5:11:12", "remaining_time": "2:52:21"}
53
+ {"current_steps": 530, "total_steps": 808, "loss": 0.1009, "lr": 3.214549555038218e-06, "epoch": 1.311881188118812, "percentage": 65.59, "elapsed_time": "5:17:05", "remaining_time": "2:46:19"}
54
+ {"current_steps": 540, "total_steps": 808, "loss": 0.0999, "lr": 3.0144588438100693e-06, "epoch": 1.3366336633663367, "percentage": 66.83, "elapsed_time": "5:23:02", "remaining_time": "2:40:19"}
55
+ {"current_steps": 550, "total_steps": 808, "loss": 0.0991, "lr": 2.8180753002918735e-06, "epoch": 1.3613861386138613, "percentage": 68.07, "elapsed_time": "5:28:50", "remaining_time": "2:34:15"}
56
+ {"current_steps": 560, "total_steps": 808, "loss": 0.0933, "lr": 2.6257655886190147e-06, "epoch": 1.386138613861386, "percentage": 69.31, "elapsed_time": "5:34:42", "remaining_time": "2:28:13"}
57
+ {"current_steps": 570, "total_steps": 808, "loss": 0.0989, "lr": 2.4378887667496696e-06, "epoch": 1.4108910891089108, "percentage": 70.54, "elapsed_time": "5:40:38", "remaining_time": "2:22:13"}
58
+ {"current_steps": 580, "total_steps": 808, "loss": 0.0994, "lr": 2.2547956160742473e-06, "epoch": 1.4356435643564356, "percentage": 71.78, "elapsed_time": "5:46:30", "remaining_time": "2:16:12"}
59
+ {"current_steps": 590, "total_steps": 808, "loss": 0.1083, "lr": 2.0768279864778475e-06, "epoch": 1.4603960396039604, "percentage": 73.02, "elapsed_time": "5:52:24", "remaining_time": "2:10:12"}
60
+ {"current_steps": 600, "total_steps": 808, "loss": 0.0955, "lr": 1.9043181580785597e-06, "epoch": 1.4851485148514851, "percentage": 74.26, "elapsed_time": "5:58:06", "remaining_time": "2:04:08"}
61
+ {"current_steps": 610, "total_steps": 808, "loss": 0.1021, "lr": 1.73758822083332e-06, "epoch": 1.50990099009901, "percentage": 75.5, "elapsed_time": "6:06:29", "remaining_time": "1:58:57"}
62
+ {"current_steps": 620, "total_steps": 808, "loss": 0.0944, "lr": 1.5769494731696206e-06, "epoch": 1.5346534653465347, "percentage": 76.73, "elapsed_time": "6:12:28", "remaining_time": "1:52:56"}
63
+ {"current_steps": 630, "total_steps": 808, "loss": 0.103, "lr": 1.4227018407658822e-06, "epoch": 1.5594059405940595, "percentage": 77.97, "elapsed_time": "6:18:18", "remaining_time": "1:46:53"}
64
+ {"current_steps": 640, "total_steps": 808, "loss": 0.1015, "lr": 1.275133316565691e-06, "epoch": 1.5841584158415842, "percentage": 79.21, "elapsed_time": "6:24:10", "remaining_time": "1:40:50"}
65
+ {"current_steps": 650, "total_steps": 808, "loss": 0.0916, "lr": 1.1345194230714235e-06, "epoch": 1.608910891089109, "percentage": 80.45, "elapsed_time": "6:30:07", "remaining_time": "1:34:49"}
66
+ {"current_steps": 660, "total_steps": 808, "loss": 0.1006, "lr": 1.001122697921197e-06, "epoch": 1.6336633663366338, "percentage": 81.68, "elapsed_time": "6:35:48", "remaining_time": "1:28:45"}
67
+ {"current_steps": 670, "total_steps": 808, "loss": 0.0973, "lr": 8.751922037096328e-07, "epoch": 1.6584158415841586, "percentage": 82.92, "elapsed_time": "6:41:43", "remaining_time": "1:22:44"}
68
+ {"current_steps": 680, "total_steps": 808, "loss": 0.0988, "lr": 7.569630629676294e-07, "epoch": 1.6831683168316833, "percentage": 84.16, "elapsed_time": "6:47:37", "remaining_time": "1:16:43"}
69
+ {"current_steps": 690, "total_steps": 808, "loss": 0.0948, "lr": 6.466560191693566e-07, "epoch": 1.7079207920792079, "percentage": 85.4, "elapsed_time": "6:53:35", "remaining_time": "1:10:43"}
70
+ {"current_steps": 700, "total_steps": 808, "loss": 0.0913, "lr": 5.444770245861553e-07, "epoch": 1.7326732673267327, "percentage": 86.63, "elapsed_time": "6:59:30", "remaining_time": "1:04:43"}
71
+ {"current_steps": 710, "total_steps": 808, "loss": 0.0944, "lr": 4.506168557567886e-07, "epoch": 1.7574257425742574, "percentage": 87.87, "elapsed_time": "7:05:28", "remaining_time": "0:58:43"}
72
+ {"current_steps": 720, "total_steps": 808, "loss": 0.0922, "lr": 3.6525075729205274e-07, "epoch": 1.7821782178217822, "percentage": 89.11, "elapsed_time": "7:11:22", "remaining_time": "0:52:43"}
73
+ {"current_steps": 730, "total_steps": 808, "loss": 0.098, "lr": 2.8853811467875413e-07, "epoch": 1.806930693069307, "percentage": 90.35, "elapsed_time": "7:17:12", "remaining_time": "0:46:42"}
74
+ {"current_steps": 740, "total_steps": 808, "loss": 0.1025, "lr": 2.2062215669397201e-07, "epoch": 1.8316831683168315, "percentage": 91.58, "elapsed_time": "7:23:11", "remaining_time": "0:40:43"}
75
+ {"current_steps": 750, "total_steps": 808, "loss": 0.0906, "lr": 1.616296879852175e-07, "epoch": 1.8564356435643563, "percentage": 92.82, "elapsed_time": "7:29:11", "remaining_time": "0:34:44"}
76
+ {"current_steps": 760, "total_steps": 808, "loss": 0.1015, "lr": 1.1167085231579111e-07, "epoch": 1.881188118811881, "percentage": 94.06, "elapsed_time": "7:34:48", "remaining_time": "0:28:43"}
77
+ {"current_steps": 770, "total_steps": 808, "loss": 0.1024, "lr": 7.083892691736428e-08, "epoch": 1.9059405940594059, "percentage": 95.3, "elapsed_time": "7:40:39", "remaining_time": "0:22:44"}
78
+ {"current_steps": 780, "total_steps": 808, "loss": 0.0925, "lr": 3.9210148333763135e-08, "epoch": 1.9306930693069306, "percentage": 96.53, "elapsed_time": "7:46:29", "remaining_time": "0:16:44"}
79
+ {"current_steps": 790, "total_steps": 808, "loss": 0.0973, "lr": 1.684357008110593e-08, "epoch": 1.9554455445544554, "percentage": 97.77, "elapsed_time": "7:52:17", "remaining_time": "0:10:45"}
80
+ {"current_steps": 800, "total_steps": 808, "loss": 0.0901, "lr": 3.780952390058379e-09, "epoch": 1.9801980198019802, "percentage": 99.01, "elapsed_time": "7:58:10", "remaining_time": "0:04:46"}
81
+ {"current_steps": 808, "total_steps": 808, "epoch": 2.0, "percentage": 100.0, "elapsed_time": "8:07:37", "remaining_time": "0:00:00"}
trainer_state.json ADDED
@@ -0,0 +1,603 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 2.0,
6
+ "eval_steps": 500,
7
+ "global_step": 808,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.024752475247524754,
14
+ "grad_norm": 1.4873312819674722,
15
+ "learning_rate": 1.111111111111111e-06,
16
+ "loss": 0.4428,
17
+ "step": 10
18
+ },
19
+ {
20
+ "epoch": 0.04950495049504951,
21
+ "grad_norm": 0.860149696440848,
22
+ "learning_rate": 2.345679012345679e-06,
23
+ "loss": 0.4068,
24
+ "step": 20
25
+ },
26
+ {
27
+ "epoch": 0.07425742574257425,
28
+ "grad_norm": 0.7730974534228278,
29
+ "learning_rate": 3.580246913580247e-06,
30
+ "loss": 0.3273,
31
+ "step": 30
32
+ },
33
+ {
34
+ "epoch": 0.09900990099009901,
35
+ "grad_norm": 0.5689200686287729,
36
+ "learning_rate": 4.814814814814815e-06,
37
+ "loss": 0.2622,
38
+ "step": 40
39
+ },
40
+ {
41
+ "epoch": 0.12376237623762376,
42
+ "grad_norm": 0.717240303466821,
43
+ "learning_rate": 6.049382716049383e-06,
44
+ "loss": 0.2315,
45
+ "step": 50
46
+ },
47
+ {
48
+ "epoch": 0.1485148514851485,
49
+ "grad_norm": 0.5479796314240546,
50
+ "learning_rate": 7.283950617283952e-06,
51
+ "loss": 0.225,
52
+ "step": 60
53
+ },
54
+ {
55
+ "epoch": 0.17326732673267325,
56
+ "grad_norm": 0.5367981858324066,
57
+ "learning_rate": 8.518518518518519e-06,
58
+ "loss": 0.2078,
59
+ "step": 70
60
+ },
61
+ {
62
+ "epoch": 0.19801980198019803,
63
+ "grad_norm": 0.5128703711055814,
64
+ "learning_rate": 9.753086419753087e-06,
65
+ "loss": 0.2007,
66
+ "step": 80
67
+ },
68
+ {
69
+ "epoch": 0.22277227722772278,
70
+ "grad_norm": 0.5500134916740962,
71
+ "learning_rate": 9.997012501794273e-06,
72
+ "loss": 0.2115,
73
+ "step": 90
74
+ },
75
+ {
76
+ "epoch": 0.24752475247524752,
77
+ "grad_norm": 0.5442543564775922,
78
+ "learning_rate": 9.984881908680157e-06,
79
+ "loss": 0.1977,
80
+ "step": 100
81
+ },
82
+ {
83
+ "epoch": 0.2722772277227723,
84
+ "grad_norm": 0.4987905277999744,
85
+ "learning_rate": 9.963444133394478e-06,
86
+ "loss": 0.2044,
87
+ "step": 110
88
+ },
89
+ {
90
+ "epoch": 0.297029702970297,
91
+ "grad_norm": 0.5792621848377878,
92
+ "learning_rate": 9.93273920201681e-06,
93
+ "loss": 0.1859,
94
+ "step": 120
95
+ },
96
+ {
97
+ "epoch": 0.3217821782178218,
98
+ "grad_norm": 0.4991425649649758,
99
+ "learning_rate": 9.892824443164987e-06,
100
+ "loss": 0.1986,
101
+ "step": 130
102
+ },
103
+ {
104
+ "epoch": 0.3465346534653465,
105
+ "grad_norm": 0.5558327647976072,
106
+ "learning_rate": 9.84377438095789e-06,
107
+ "loss": 0.1972,
108
+ "step": 140
109
+ },
110
+ {
111
+ "epoch": 0.3712871287128713,
112
+ "grad_norm": 0.5522405055451383,
113
+ "learning_rate": 9.785680595872824e-06,
114
+ "loss": 0.1973,
115
+ "step": 150
116
+ },
117
+ {
118
+ "epoch": 0.39603960396039606,
119
+ "grad_norm": 0.4641525226246223,
120
+ "learning_rate": 9.718651553757266e-06,
121
+ "loss": 0.1848,
122
+ "step": 160
123
+ },
124
+ {
125
+ "epoch": 0.4207920792079208,
126
+ "grad_norm": 0.4712224353128171,
127
+ "learning_rate": 9.642812403314272e-06,
128
+ "loss": 0.1911,
129
+ "step": 170
130
+ },
131
+ {
132
+ "epoch": 0.44554455445544555,
133
+ "grad_norm": 0.5142622413114706,
134
+ "learning_rate": 9.55830474243961e-06,
135
+ "loss": 0.1925,
136
+ "step": 180
137
+ },
138
+ {
139
+ "epoch": 0.47029702970297027,
140
+ "grad_norm": 0.4006105519636306,
141
+ "learning_rate": 9.465286353846905e-06,
142
+ "loss": 0.1866,
143
+ "step": 190
144
+ },
145
+ {
146
+ "epoch": 0.49504950495049505,
147
+ "grad_norm": 0.5073171400534645,
148
+ "learning_rate": 9.36393091047441e-06,
149
+ "loss": 0.185,
150
+ "step": 200
151
+ },
152
+ {
153
+ "epoch": 0.5198019801980198,
154
+ "grad_norm": 0.5880177221650992,
155
+ "learning_rate": 9.254427651223434e-06,
156
+ "loss": 0.1848,
157
+ "step": 210
158
+ },
159
+ {
160
+ "epoch": 0.5445544554455446,
161
+ "grad_norm": 0.4554484357702942,
162
+ "learning_rate": 9.136981027633834e-06,
163
+ "loss": 0.1851,
164
+ "step": 220
165
+ },
166
+ {
167
+ "epoch": 0.5693069306930693,
168
+ "grad_norm": 0.5031293487926348,
169
+ "learning_rate": 9.011810322156269e-06,
170
+ "loss": 0.1948,
171
+ "step": 230
172
+ },
173
+ {
174
+ "epoch": 0.594059405940594,
175
+ "grad_norm": 0.4577032226856764,
176
+ "learning_rate": 8.879149238733932e-06,
177
+ "loss": 0.1861,
178
+ "step": 240
179
+ },
180
+ {
181
+ "epoch": 0.6188118811881188,
182
+ "grad_norm": 0.44733995052099396,
183
+ "learning_rate": 8.739245466458187e-06,
184
+ "loss": 0.1757,
185
+ "step": 250
186
+ },
187
+ {
188
+ "epoch": 0.6435643564356436,
189
+ "grad_norm": 0.5406277161031414,
190
+ "learning_rate": 8.592360217112759e-06,
191
+ "loss": 0.1794,
192
+ "step": 260
193
+ },
194
+ {
195
+ "epoch": 0.6683168316831684,
196
+ "grad_norm": 0.4515622758216762,
197
+ "learning_rate": 8.438767737469995e-06,
198
+ "loss": 0.1735,
199
+ "step": 270
200
+ },
201
+ {
202
+ "epoch": 0.693069306930693,
203
+ "grad_norm": 0.4635294881039678,
204
+ "learning_rate": 8.278754797249702e-06,
205
+ "loss": 0.1713,
206
+ "step": 280
207
+ },
208
+ {
209
+ "epoch": 0.7178217821782178,
210
+ "grad_norm": 0.5013665282058885,
211
+ "learning_rate": 8.11262015369663e-06,
212
+ "loss": 0.1761,
213
+ "step": 290
214
+ },
215
+ {
216
+ "epoch": 0.7425742574257426,
217
+ "grad_norm": 0.4829501917570715,
218
+ "learning_rate": 7.940673993776258e-06,
219
+ "loss": 0.1874,
220
+ "step": 300
221
+ },
222
+ {
223
+ "epoch": 0.7673267326732673,
224
+ "grad_norm": 0.443719131169877,
225
+ "learning_rate": 7.763237355030384e-06,
226
+ "loss": 0.1683,
227
+ "step": 310
228
+ },
229
+ {
230
+ "epoch": 0.7920792079207921,
231
+ "grad_norm": 0.4280811144981197,
232
+ "learning_rate": 7.580641526173758e-06,
233
+ "loss": 0.1776,
234
+ "step": 320
235
+ },
236
+ {
237
+ "epoch": 0.8168316831683168,
238
+ "grad_norm": 0.6434688708393701,
239
+ "learning_rate": 7.39322742855097e-06,
240
+ "loss": 0.1861,
241
+ "step": 330
242
+ },
243
+ {
244
+ "epoch": 0.8415841584158416,
245
+ "grad_norm": 0.4538744032232575,
246
+ "learning_rate": 7.201344979608423e-06,
247
+ "loss": 0.1832,
248
+ "step": 340
249
+ },
250
+ {
251
+ "epoch": 0.8663366336633663,
252
+ "grad_norm": 0.4590505681626231,
253
+ "learning_rate": 7.0053524395698345e-06,
254
+ "loss": 0.1778,
255
+ "step": 350
256
+ },
257
+ {
258
+ "epoch": 0.8910891089108911,
259
+ "grad_norm": 0.39529209206101645,
260
+ "learning_rate": 6.805615742535117e-06,
261
+ "loss": 0.1712,
262
+ "step": 360
263
+ },
264
+ {
265
+ "epoch": 0.9158415841584159,
266
+ "grad_norm": 0.5257661202592374,
267
+ "learning_rate": 6.602507813251478e-06,
268
+ "loss": 0.1752,
269
+ "step": 370
270
+ },
271
+ {
272
+ "epoch": 0.9405940594059405,
273
+ "grad_norm": 0.49075057672303185,
274
+ "learning_rate": 6.396407870832419e-06,
275
+ "loss": 0.1691,
276
+ "step": 380
277
+ },
278
+ {
279
+ "epoch": 0.9653465346534653,
280
+ "grad_norm": 0.4063721529471352,
281
+ "learning_rate": 6.187700720724648e-06,
282
+ "loss": 0.1638,
283
+ "step": 390
284
+ },
285
+ {
286
+ "epoch": 0.9900990099009901,
287
+ "grad_norm": 0.49409556281854755,
288
+ "learning_rate": 5.976776036244833e-06,
289
+ "loss": 0.1715,
290
+ "step": 400
291
+ },
292
+ {
293
+ "epoch": 1.0148514851485149,
294
+ "grad_norm": 0.4704764465424178,
295
+ "learning_rate": 5.764027631027659e-06,
296
+ "loss": 0.1338,
297
+ "step": 410
298
+ },
299
+ {
300
+ "epoch": 1.0396039603960396,
301
+ "grad_norm": 0.514030762089054,
302
+ "learning_rate": 5.549852723743564e-06,
303
+ "loss": 0.1068,
304
+ "step": 420
305
+ },
306
+ {
307
+ "epoch": 1.0643564356435644,
308
+ "grad_norm": 0.46024391907618734,
309
+ "learning_rate": 5.334651196459003e-06,
310
+ "loss": 0.1083,
311
+ "step": 430
312
+ },
313
+ {
314
+ "epoch": 1.0891089108910892,
315
+ "grad_norm": 0.5084928690964229,
316
+ "learning_rate": 5.118824848023926e-06,
317
+ "loss": 0.0991,
318
+ "step": 440
319
+ },
320
+ {
321
+ "epoch": 1.113861386138614,
322
+ "grad_norm": 0.5721555377829844,
323
+ "learning_rate": 4.902776643880461e-06,
324
+ "loss": 0.1082,
325
+ "step": 450
326
+ },
327
+ {
328
+ "epoch": 1.1386138613861387,
329
+ "grad_norm": 0.44271050446405025,
330
+ "learning_rate": 4.686909963693498e-06,
331
+ "loss": 0.0998,
332
+ "step": 460
333
+ },
334
+ {
335
+ "epoch": 1.1633663366336633,
336
+ "grad_norm": 0.4765511931794564,
337
+ "learning_rate": 4.47162784820784e-06,
338
+ "loss": 0.1,
339
+ "step": 470
340
+ },
341
+ {
342
+ "epoch": 1.188118811881188,
343
+ "grad_norm": 0.4946911218893508,
344
+ "learning_rate": 4.257332246738201e-06,
345
+ "loss": 0.1019,
346
+ "step": 480
347
+ },
348
+ {
349
+ "epoch": 1.2128712871287128,
350
+ "grad_norm": 0.4965201004334917,
351
+ "learning_rate": 4.04442326669695e-06,
352
+ "loss": 0.1051,
353
+ "step": 490
354
+ },
355
+ {
356
+ "epoch": 1.2376237623762376,
357
+ "grad_norm": 0.5408097804856393,
358
+ "learning_rate": 3.833298426560851e-06,
359
+ "loss": 0.1004,
360
+ "step": 500
361
+ },
362
+ {
363
+ "epoch": 1.2623762376237624,
364
+ "grad_norm": 0.5252320189983105,
365
+ "learning_rate": 3.624351913671571e-06,
366
+ "loss": 0.1014,
367
+ "step": 510
368
+ },
369
+ {
370
+ "epoch": 1.2871287128712872,
371
+ "grad_norm": 0.556206677324514,
372
+ "learning_rate": 3.4179738482556648e-06,
373
+ "loss": 0.1049,
374
+ "step": 520
375
+ },
376
+ {
377
+ "epoch": 1.311881188118812,
378
+ "grad_norm": 0.5360529256375285,
379
+ "learning_rate": 3.214549555038218e-06,
380
+ "loss": 0.1009,
381
+ "step": 530
382
+ },
383
+ {
384
+ "epoch": 1.3366336633663367,
385
+ "grad_norm": 0.48742930116454386,
386
+ "learning_rate": 3.0144588438100693e-06,
387
+ "loss": 0.0999,
388
+ "step": 540
389
+ },
390
+ {
391
+ "epoch": 1.3613861386138613,
392
+ "grad_norm": 0.7874631044020063,
393
+ "learning_rate": 2.8180753002918735e-06,
394
+ "loss": 0.0991,
395
+ "step": 550
396
+ },
397
+ {
398
+ "epoch": 1.386138613861386,
399
+ "grad_norm": 0.4606133875814067,
400
+ "learning_rate": 2.6257655886190147e-06,
401
+ "loss": 0.0933,
402
+ "step": 560
403
+ },
404
+ {
405
+ "epoch": 1.4108910891089108,
406
+ "grad_norm": 0.47731270631998807,
407
+ "learning_rate": 2.4378887667496696e-06,
408
+ "loss": 0.0989,
409
+ "step": 570
410
+ },
411
+ {
412
+ "epoch": 1.4356435643564356,
413
+ "grad_norm": 0.5003301127513975,
414
+ "learning_rate": 2.2547956160742473e-06,
415
+ "loss": 0.0994,
416
+ "step": 580
417
+ },
418
+ {
419
+ "epoch": 1.4603960396039604,
420
+ "grad_norm": 0.5212714732655578,
421
+ "learning_rate": 2.0768279864778475e-06,
422
+ "loss": 0.1083,
423
+ "step": 590
424
+ },
425
+ {
426
+ "epoch": 1.4851485148514851,
427
+ "grad_norm": 0.4573167459369404,
428
+ "learning_rate": 1.9043181580785597e-06,
429
+ "loss": 0.0955,
430
+ "step": 600
431
+ },
432
+ {
433
+ "epoch": 1.50990099009901,
434
+ "grad_norm": 0.5828901902132052,
435
+ "learning_rate": 1.73758822083332e-06,
436
+ "loss": 0.1021,
437
+ "step": 610
438
+ },
439
+ {
440
+ "epoch": 1.5346534653465347,
441
+ "grad_norm": 0.44258879326834666,
442
+ "learning_rate": 1.5769494731696206e-06,
443
+ "loss": 0.0944,
444
+ "step": 620
445
+ },
446
+ {
447
+ "epoch": 1.5594059405940595,
448
+ "grad_norm": 0.5612729118082875,
449
+ "learning_rate": 1.4227018407658822e-06,
450
+ "loss": 0.103,
451
+ "step": 630
452
+ },
453
+ {
454
+ "epoch": 1.5841584158415842,
455
+ "grad_norm": 0.5111939858784064,
456
+ "learning_rate": 1.275133316565691e-06,
457
+ "loss": 0.1015,
458
+ "step": 640
459
+ },
460
+ {
461
+ "epoch": 1.608910891089109,
462
+ "grad_norm": 0.43301100280236354,
463
+ "learning_rate": 1.1345194230714235e-06,
464
+ "loss": 0.0916,
465
+ "step": 650
466
+ },
467
+ {
468
+ "epoch": 1.6336633663366338,
469
+ "grad_norm": 0.5685808742921838,
470
+ "learning_rate": 1.001122697921197e-06,
471
+ "loss": 0.1006,
472
+ "step": 660
473
+ },
474
+ {
475
+ "epoch": 1.6584158415841586,
476
+ "grad_norm": 0.4732021093665504,
477
+ "learning_rate": 8.751922037096328e-07,
478
+ "loss": 0.0973,
479
+ "step": 670
480
+ },
481
+ {
482
+ "epoch": 1.6831683168316833,
483
+ "grad_norm": 0.5002688727866472,
484
+ "learning_rate": 7.569630629676294e-07,
485
+ "loss": 0.0988,
486
+ "step": 680
487
+ },
488
+ {
489
+ "epoch": 1.7079207920792079,
490
+ "grad_norm": 0.6448602699924979,
491
+ "learning_rate": 6.466560191693566e-07,
492
+ "loss": 0.0948,
493
+ "step": 690
494
+ },
495
+ {
496
+ "epoch": 1.7326732673267327,
497
+ "grad_norm": 0.49223407652600815,
498
+ "learning_rate": 5.444770245861553e-07,
499
+ "loss": 0.0913,
500
+ "step": 700
501
+ },
502
+ {
503
+ "epoch": 1.7574257425742574,
504
+ "grad_norm": 0.4356390296013288,
505
+ "learning_rate": 4.506168557567886e-07,
506
+ "loss": 0.0944,
507
+ "step": 710
508
+ },
509
+ {
510
+ "epoch": 1.7821782178217822,
511
+ "grad_norm": 0.4524339230442861,
512
+ "learning_rate": 3.6525075729205274e-07,
513
+ "loss": 0.0922,
514
+ "step": 720
515
+ },
516
+ {
517
+ "epoch": 1.806930693069307,
518
+ "grad_norm": 0.6615290546421568,
519
+ "learning_rate": 2.8853811467875413e-07,
520
+ "loss": 0.098,
521
+ "step": 730
522
+ },
523
+ {
524
+ "epoch": 1.8316831683168315,
525
+ "grad_norm": 0.49847536579909224,
526
+ "learning_rate": 2.2062215669397201e-07,
527
+ "loss": 0.1025,
528
+ "step": 740
529
+ },
530
+ {
531
+ "epoch": 1.8564356435643563,
532
+ "grad_norm": 0.4027083627268508,
533
+ "learning_rate": 1.616296879852175e-07,
534
+ "loss": 0.0906,
535
+ "step": 750
536
+ },
537
+ {
538
+ "epoch": 1.881188118811881,
539
+ "grad_norm": 0.5545161003969088,
540
+ "learning_rate": 1.1167085231579111e-07,
541
+ "loss": 0.1015,
542
+ "step": 760
543
+ },
544
+ {
545
+ "epoch": 1.9059405940594059,
546
+ "grad_norm": 0.6170175679054791,
547
+ "learning_rate": 7.083892691736428e-08,
548
+ "loss": 0.1024,
549
+ "step": 770
550
+ },
551
+ {
552
+ "epoch": 1.9306930693069306,
553
+ "grad_norm": 0.643468057667551,
554
+ "learning_rate": 3.9210148333763135e-08,
555
+ "loss": 0.0925,
556
+ "step": 780
557
+ },
558
+ {
559
+ "epoch": 1.9554455445544554,
560
+ "grad_norm": 0.4524005775955007,
561
+ "learning_rate": 1.684357008110593e-08,
562
+ "loss": 0.0973,
563
+ "step": 790
564
+ },
565
+ {
566
+ "epoch": 1.9801980198019802,
567
+ "grad_norm": 0.4828849570873087,
568
+ "learning_rate": 3.780952390058379e-09,
569
+ "loss": 0.0901,
570
+ "step": 800
571
+ },
572
+ {
573
+ "epoch": 2.0,
574
+ "step": 808,
575
+ "total_flos": 1.995296975397847e+17,
576
+ "train_loss": 0.15181401895709556,
577
+ "train_runtime": 29257.7471,
578
+ "train_samples_per_second": 0.221,
579
+ "train_steps_per_second": 0.028
580
+ }
581
+ ],
582
+ "logging_steps": 10,
583
+ "max_steps": 808,
584
+ "num_input_tokens_seen": 0,
585
+ "num_train_epochs": 2,
586
+ "save_steps": 200,
587
+ "stateful_callbacks": {
588
+ "TrainerControl": {
589
+ "args": {
590
+ "should_epoch_stop": false,
591
+ "should_evaluate": false,
592
+ "should_log": false,
593
+ "should_save": true,
594
+ "should_training_stop": true
595
+ },
596
+ "attributes": {}
597
+ }
598
+ },
599
+ "total_flos": 1.995296975397847e+17,
600
+ "train_batch_size": 1,
601
+ "trial_name": null,
602
+ "trial_params": null
603
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:32068f93dc6f578d4398096b69773f0c43c71045e13a3d8361bdbb741ebdc0ea
3
+ size 8337
training_loss.png ADDED
vocab.json ADDED
The diff for this file is too large to render. See raw diff