Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- added_tokens.json +28 -0
- chat_template.jinja +85 -0
- config.json +73 -0
- generation_config.json +6 -0
- merges.txt +0 -0
- model-00001-of-00013.safetensors +3 -0
- model-00002-of-00013.safetensors +3 -0
- model-00003-of-00013.safetensors +3 -0
- model-00004-of-00013.safetensors +3 -0
- model-00005-of-00013.safetensors +3 -0
- model-00006-of-00013.safetensors +3 -0
- model-00007-of-00013.safetensors +3 -0
- model-00008-of-00013.safetensors +3 -0
- model-00009-of-00013.safetensors +3 -0
- model-00010-of-00013.safetensors +3 -0
- model-00011-of-00013.safetensors +3 -0
- model-00012-of-00013.safetensors +3 -0
- model-00013-of-00013.safetensors +3 -0
- model.safetensors.index.json +451 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +31 -0
- tokenizer.json +3 -0
- tokenizer_config.json +239 -0
- trainer_state.json +1370 -0
- training_args.bin +3 -0
- vocab.json +0 -0
.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
|
added_tokens.json
ADDED
|
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"</think>": 151668,
|
| 3 |
+
"</tool_call>": 151658,
|
| 4 |
+
"</tool_response>": 151666,
|
| 5 |
+
"<think>": 151667,
|
| 6 |
+
"<tool_call>": 151657,
|
| 7 |
+
"<tool_response>": 151665,
|
| 8 |
+
"<|box_end|>": 151649,
|
| 9 |
+
"<|box_start|>": 151648,
|
| 10 |
+
"<|endoftext|>": 151643,
|
| 11 |
+
"<|file_sep|>": 151664,
|
| 12 |
+
"<|fim_middle|>": 151660,
|
| 13 |
+
"<|fim_pad|>": 151662,
|
| 14 |
+
"<|fim_prefix|>": 151659,
|
| 15 |
+
"<|fim_suffix|>": 151661,
|
| 16 |
+
"<|im_end|>": 151645,
|
| 17 |
+
"<|im_start|>": 151644,
|
| 18 |
+
"<|image_pad|>": 151655,
|
| 19 |
+
"<|object_ref_end|>": 151647,
|
| 20 |
+
"<|object_ref_start|>": 151646,
|
| 21 |
+
"<|quad_end|>": 151651,
|
| 22 |
+
"<|quad_start|>": 151650,
|
| 23 |
+
"<|repo_name|>": 151663,
|
| 24 |
+
"<|video_pad|>": 151656,
|
| 25 |
+
"<|vision_end|>": 151653,
|
| 26 |
+
"<|vision_pad|>": 151654,
|
| 27 |
+
"<|vision_start|>": 151652
|
| 28 |
+
}
|
chat_template.jinja
ADDED
|
@@ -0,0 +1,85 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- if tools %}
|
| 2 |
+
{{- '<|im_start|>system\n' }}
|
| 3 |
+
{%- if messages[0].role == 'system' %}
|
| 4 |
+
{{- messages[0].content + '\n\n' }}
|
| 5 |
+
{%- endif %}
|
| 6 |
+
{{- "# 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>" }}
|
| 7 |
+
{%- for tool in tools %}
|
| 8 |
+
{{- "\n" }}
|
| 9 |
+
{{- tool | tojson }}
|
| 10 |
+
{%- endfor %}
|
| 11 |
+
{{- "\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" }}
|
| 12 |
+
{%- else %}
|
| 13 |
+
{%- if messages[0].role == 'system' %}
|
| 14 |
+
{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
|
| 15 |
+
{%- endif %}
|
| 16 |
+
{%- endif %}
|
| 17 |
+
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
|
| 18 |
+
{%- for message in messages[::-1] %}
|
| 19 |
+
{%- set index = (messages|length - 1) - loop.index0 %}
|
| 20 |
+
{%- if ns.multi_step_tool and message.role == "user" and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
|
| 21 |
+
{%- set ns.multi_step_tool = false %}
|
| 22 |
+
{%- set ns.last_query_index = index %}
|
| 23 |
+
{%- endif %}
|
| 24 |
+
{%- endfor %}
|
| 25 |
+
{%- for message in messages %}
|
| 26 |
+
{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
|
| 27 |
+
{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
|
| 28 |
+
{%- elif message.role == "assistant" %}
|
| 29 |
+
{%- set content = message.content %}
|
| 30 |
+
{%- set reasoning_content = '' %}
|
| 31 |
+
{%- if message.reasoning_content is defined and message.reasoning_content is not none %}
|
| 32 |
+
{%- set reasoning_content = message.reasoning_content %}
|
| 33 |
+
{%- else %}
|
| 34 |
+
{%- if '</think>' in message.content %}
|
| 35 |
+
{%- set content = message.content.split('</think>')[-1].lstrip('\n') %}
|
| 36 |
+
{%- set reasoning_content = message.content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
|
| 37 |
+
{%- endif %}
|
| 38 |
+
{%- endif %}
|
| 39 |
+
{%- if loop.index0 > ns.last_query_index %}
|
| 40 |
+
{%- if loop.last or (not loop.last and reasoning_content) %}
|
| 41 |
+
{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
|
| 42 |
+
{%- else %}
|
| 43 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 44 |
+
{%- endif %}
|
| 45 |
+
{%- else %}
|
| 46 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 47 |
+
{%- endif %}
|
| 48 |
+
{%- if message.tool_calls %}
|
| 49 |
+
{%- for tool_call in message.tool_calls %}
|
| 50 |
+
{%- if (loop.first and content) or (not loop.first) %}
|
| 51 |
+
{{- '\n' }}
|
| 52 |
+
{%- endif %}
|
| 53 |
+
{%- if tool_call.function %}
|
| 54 |
+
{%- set tool_call = tool_call.function %}
|
| 55 |
+
{%- endif %}
|
| 56 |
+
{{- '<tool_call>\n{"name": "' }}
|
| 57 |
+
{{- tool_call.name }}
|
| 58 |
+
{{- '", "arguments": ' }}
|
| 59 |
+
{%- if tool_call.arguments is string %}
|
| 60 |
+
{{- tool_call.arguments }}
|
| 61 |
+
{%- else %}
|
| 62 |
+
{{- tool_call.arguments | tojson }}
|
| 63 |
+
{%- endif %}
|
| 64 |
+
{{- '}\n</tool_call>' }}
|
| 65 |
+
{%- endfor %}
|
| 66 |
+
{%- endif %}
|
| 67 |
+
{{- '<|im_end|>\n' }}
|
| 68 |
+
{%- elif message.role == "tool" %}
|
| 69 |
+
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
|
| 70 |
+
{{- '<|im_start|>user' }}
|
| 71 |
+
{%- endif %}
|
| 72 |
+
{{- '\n<tool_response>\n' }}
|
| 73 |
+
{{- message.content }}
|
| 74 |
+
{{- '\n</tool_response>' }}
|
| 75 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 76 |
+
{{- '<|im_end|>\n' }}
|
| 77 |
+
{%- endif %}
|
| 78 |
+
{%- endif %}
|
| 79 |
+
{%- endfor %}
|
| 80 |
+
{%- if add_generation_prompt %}
|
| 81 |
+
{{- '<|im_start|>assistant\n' }}
|
| 82 |
+
{%- if enable_thinking is defined and enable_thinking is false %}
|
| 83 |
+
{{- '<think>\n\n</think>\n\n' }}
|
| 84 |
+
{%- endif %}
|
| 85 |
+
{%- endif %}
|
config.json
ADDED
|
@@ -0,0 +1,73 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen3ForCausalLM"
|
| 4 |
+
],
|
| 5 |
+
"attention_bias": false,
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"bos_token_id": 151643,
|
| 8 |
+
"eos_token_id": 151643,
|
| 9 |
+
"head_dim": 128,
|
| 10 |
+
"hidden_act": "silu",
|
| 11 |
+
"hidden_size": 5120,
|
| 12 |
+
"initializer_range": 0.02,
|
| 13 |
+
"intermediate_size": 17408,
|
| 14 |
+
"layer_types": [
|
| 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 |
+
],
|
| 56 |
+
"max_position_embeddings": 32768,
|
| 57 |
+
"max_window_layers": 40,
|
| 58 |
+
"model_type": "qwen3",
|
| 59 |
+
"num_attention_heads": 40,
|
| 60 |
+
"num_hidden_layers": 40,
|
| 61 |
+
"num_key_value_heads": 8,
|
| 62 |
+
"pad_token_id": 151662,
|
| 63 |
+
"rms_norm_eps": 1e-06,
|
| 64 |
+
"rope_scaling": null,
|
| 65 |
+
"rope_theta": 1000000,
|
| 66 |
+
"sliding_window": null,
|
| 67 |
+
"tie_word_embeddings": false,
|
| 68 |
+
"torch_dtype": "float32",
|
| 69 |
+
"transformers_version": "4.54.1",
|
| 70 |
+
"use_cache": true,
|
| 71 |
+
"use_sliding_window": false,
|
| 72 |
+
"vocab_size": 151936
|
| 73 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token_id": 151643,
|
| 3 |
+
"eos_token_id": 151643,
|
| 4 |
+
"max_new_tokens": 2048,
|
| 5 |
+
"transformers_version": "4.54.1"
|
| 6 |
+
}
|
merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
model-00001-of-00013.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:50bf281b4c8ff9c1eb92cc5ab950e0481d70e55182c50f51d16b8f69f984a865
|
| 3 |
+
size 4684558368
|
model-00002-of-00013.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ba0738c4c3bf1e95940f9accf2742eeea76c80069a360e61fbaa35f254be0bbd
|
| 3 |
+
size 4676778920
|
model-00003-of-00013.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9e951b6e52a167c13ac9c518e729c3249ca5c8b52c37fdffc66805eab845fd97
|
| 3 |
+
size 4928480056
|
model-00004-of-00013.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:62e3846e2d3856dc0ce6ef2c4786e36c5d73d6b9355b5f94cc11390e3b6da869
|
| 3 |
+
size 4928480080
|
model-00005-of-00013.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:337d7d390651becff4972f0a190e7d7f4bb9945d4e66607c8e4bdccc8237d20e
|
| 3 |
+
size 4676778952
|
model-00006-of-00013.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f940fb3d9ee98fe3ce9bde3dbbd2b852176797d4a6a536d9761158e52ce77eb7
|
| 3 |
+
size 4928480096
|
model-00007-of-00013.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:20419186fb99aec7dc559ea705342886db39e50afa1f343bede35a36f14d977c
|
| 3 |
+
size 4928480096
|
model-00008-of-00013.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6291516e481fbb55eda3477622276b4ea07517917c87f1a2a774fabe9013586c
|
| 3 |
+
size 4676778952
|
model-00009-of-00013.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:31d9252dd6c77465481618830353b728bfa6bb7f2002848e6abf579e70a21ec8
|
| 3 |
+
size 4928480096
|
model-00010-of-00013.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5ade73bfc6249e2439cfdd8c5167c54a5153a0045152c1bd709083a4e2674ea8
|
| 3 |
+
size 4928480096
|
model-00011-of-00013.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1c384649bf7e3ab91d589d62d0c50e7efb37f71942c8cb1f8295dd4bb6e7e5d0
|
| 3 |
+
size 4676778952
|
model-00012-of-00013.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c3233c0eecc7911a667ad7cf493bda4df971f2f9f85d554dd1ca8f33f2e5ec35
|
| 3 |
+
size 2999075752
|
model-00013-of-00013.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:710586ae592871907c7fe3805a9f98d22fb328f15c0888343bcd9f1cc90a7e01
|
| 3 |
+
size 3111649408
|
model.safetensors.index.json
ADDED
|
@@ -0,0 +1,451 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"metadata": {
|
| 3 |
+
"total_parameters": 14768307200,
|
| 4 |
+
"total_size": 59073228800
|
| 5 |
+
},
|
| 6 |
+
"weight_map": {
|
| 7 |
+
"lm_head.weight": "model-00013-of-00013.safetensors",
|
| 8 |
+
"model.embed_tokens.weight": "model-00001-of-00013.safetensors",
|
| 9 |
+
"model.layers.0.input_layernorm.weight": "model-00001-of-00013.safetensors",
|
| 10 |
+
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00013.safetensors",
|
| 11 |
+
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00013.safetensors",
|
| 12 |
+
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00013.safetensors",
|
| 13 |
+
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00013.safetensors",
|
| 14 |
+
"model.layers.0.self_attn.k_norm.weight": "model-00001-of-00013.safetensors",
|
| 15 |
+
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00013.safetensors",
|
| 16 |
+
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00013.safetensors",
|
| 17 |
+
"model.layers.0.self_attn.q_norm.weight": "model-00001-of-00013.safetensors",
|
| 18 |
+
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00013.safetensors",
|
| 19 |
+
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00013.safetensors",
|
| 20 |
+
"model.layers.1.input_layernorm.weight": "model-00002-of-00013.safetensors",
|
| 21 |
+
"model.layers.1.mlp.down_proj.weight": "model-00002-of-00013.safetensors",
|
| 22 |
+
"model.layers.1.mlp.gate_proj.weight": "model-00002-of-00013.safetensors",
|
| 23 |
+
"model.layers.1.mlp.up_proj.weight": "model-00002-of-00013.safetensors",
|
| 24 |
+
"model.layers.1.post_attention_layernorm.weight": "model-00002-of-00013.safetensors",
|
| 25 |
+
"model.layers.1.self_attn.k_norm.weight": "model-00001-of-00013.safetensors",
|
| 26 |
+
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00013.safetensors",
|
| 27 |
+
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00013.safetensors",
|
| 28 |
+
"model.layers.1.self_attn.q_norm.weight": "model-00001-of-00013.safetensors",
|
| 29 |
+
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00013.safetensors",
|
| 30 |
+
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00013.safetensors",
|
| 31 |
+
"model.layers.10.input_layernorm.weight": "model-00004-of-00013.safetensors",
|
| 32 |
+
"model.layers.10.mlp.down_proj.weight": "model-00004-of-00013.safetensors",
|
| 33 |
+
"model.layers.10.mlp.gate_proj.weight": "model-00004-of-00013.safetensors",
|
| 34 |
+
"model.layers.10.mlp.up_proj.weight": "model-00004-of-00013.safetensors",
|
| 35 |
+
"model.layers.10.post_attention_layernorm.weight": "model-00004-of-00013.safetensors",
|
| 36 |
+
"model.layers.10.self_attn.k_norm.weight": "model-00004-of-00013.safetensors",
|
| 37 |
+
"model.layers.10.self_attn.k_proj.weight": "model-00004-of-00013.safetensors",
|
| 38 |
+
"model.layers.10.self_attn.o_proj.weight": "model-00004-of-00013.safetensors",
|
| 39 |
+
"model.layers.10.self_attn.q_norm.weight": "model-00004-of-00013.safetensors",
|
| 40 |
+
"model.layers.10.self_attn.q_proj.weight": "model-00004-of-00013.safetensors",
|
| 41 |
+
"model.layers.10.self_attn.v_proj.weight": "model-00004-of-00013.safetensors",
|
| 42 |
+
"model.layers.11.input_layernorm.weight": "model-00004-of-00013.safetensors",
|
| 43 |
+
"model.layers.11.mlp.down_proj.weight": "model-00004-of-00013.safetensors",
|
| 44 |
+
"model.layers.11.mlp.gate_proj.weight": "model-00004-of-00013.safetensors",
|
| 45 |
+
"model.layers.11.mlp.up_proj.weight": "model-00004-of-00013.safetensors",
|
| 46 |
+
"model.layers.11.post_attention_layernorm.weight": "model-00004-of-00013.safetensors",
|
| 47 |
+
"model.layers.11.self_attn.k_norm.weight": "model-00004-of-00013.safetensors",
|
| 48 |
+
"model.layers.11.self_attn.k_proj.weight": "model-00004-of-00013.safetensors",
|
| 49 |
+
"model.layers.11.self_attn.o_proj.weight": "model-00004-of-00013.safetensors",
|
| 50 |
+
"model.layers.11.self_attn.q_norm.weight": "model-00004-of-00013.safetensors",
|
| 51 |
+
"model.layers.11.self_attn.q_proj.weight": "model-00004-of-00013.safetensors",
|
| 52 |
+
"model.layers.11.self_attn.v_proj.weight": "model-00004-of-00013.safetensors",
|
| 53 |
+
"model.layers.12.input_layernorm.weight": "model-00005-of-00013.safetensors",
|
| 54 |
+
"model.layers.12.mlp.down_proj.weight": "model-00005-of-00013.safetensors",
|
| 55 |
+
"model.layers.12.mlp.gate_proj.weight": "model-00005-of-00013.safetensors",
|
| 56 |
+
"model.layers.12.mlp.up_proj.weight": "model-00005-of-00013.safetensors",
|
| 57 |
+
"model.layers.12.post_attention_layernorm.weight": "model-00005-of-00013.safetensors",
|
| 58 |
+
"model.layers.12.self_attn.k_norm.weight": "model-00004-of-00013.safetensors",
|
| 59 |
+
"model.layers.12.self_attn.k_proj.weight": "model-00004-of-00013.safetensors",
|
| 60 |
+
"model.layers.12.self_attn.o_proj.weight": "model-00004-of-00013.safetensors",
|
| 61 |
+
"model.layers.12.self_attn.q_norm.weight": "model-00004-of-00013.safetensors",
|
| 62 |
+
"model.layers.12.self_attn.q_proj.weight": "model-00004-of-00013.safetensors",
|
| 63 |
+
"model.layers.12.self_attn.v_proj.weight": "model-00004-of-00013.safetensors",
|
| 64 |
+
"model.layers.13.input_layernorm.weight": "model-00005-of-00013.safetensors",
|
| 65 |
+
"model.layers.13.mlp.down_proj.weight": "model-00005-of-00013.safetensors",
|
| 66 |
+
"model.layers.13.mlp.gate_proj.weight": "model-00005-of-00013.safetensors",
|
| 67 |
+
"model.layers.13.mlp.up_proj.weight": "model-00005-of-00013.safetensors",
|
| 68 |
+
"model.layers.13.post_attention_layernorm.weight": "model-00005-of-00013.safetensors",
|
| 69 |
+
"model.layers.13.self_attn.k_norm.weight": "model-00005-of-00013.safetensors",
|
| 70 |
+
"model.layers.13.self_attn.k_proj.weight": "model-00005-of-00013.safetensors",
|
| 71 |
+
"model.layers.13.self_attn.o_proj.weight": "model-00005-of-00013.safetensors",
|
| 72 |
+
"model.layers.13.self_attn.q_norm.weight": "model-00005-of-00013.safetensors",
|
| 73 |
+
"model.layers.13.self_attn.q_proj.weight": "model-00005-of-00013.safetensors",
|
| 74 |
+
"model.layers.13.self_attn.v_proj.weight": "model-00005-of-00013.safetensors",
|
| 75 |
+
"model.layers.14.input_layernorm.weight": "model-00005-of-00013.safetensors",
|
| 76 |
+
"model.layers.14.mlp.down_proj.weight": "model-00005-of-00013.safetensors",
|
| 77 |
+
"model.layers.14.mlp.gate_proj.weight": "model-00005-of-00013.safetensors",
|
| 78 |
+
"model.layers.14.mlp.up_proj.weight": "model-00005-of-00013.safetensors",
|
| 79 |
+
"model.layers.14.post_attention_layernorm.weight": "model-00005-of-00013.safetensors",
|
| 80 |
+
"model.layers.14.self_attn.k_norm.weight": "model-00005-of-00013.safetensors",
|
| 81 |
+
"model.layers.14.self_attn.k_proj.weight": "model-00005-of-00013.safetensors",
|
| 82 |
+
"model.layers.14.self_attn.o_proj.weight": "model-00005-of-00013.safetensors",
|
| 83 |
+
"model.layers.14.self_attn.q_norm.weight": "model-00005-of-00013.safetensors",
|
| 84 |
+
"model.layers.14.self_attn.q_proj.weight": "model-00005-of-00013.safetensors",
|
| 85 |
+
"model.layers.14.self_attn.v_proj.weight": "model-00005-of-00013.safetensors",
|
| 86 |
+
"model.layers.15.input_layernorm.weight": "model-00006-of-00013.safetensors",
|
| 87 |
+
"model.layers.15.mlp.down_proj.weight": "model-00006-of-00013.safetensors",
|
| 88 |
+
"model.layers.15.mlp.gate_proj.weight": "model-00005-of-00013.safetensors",
|
| 89 |
+
"model.layers.15.mlp.up_proj.weight": "model-00005-of-00013.safetensors",
|
| 90 |
+
"model.layers.15.post_attention_layernorm.weight": "model-00006-of-00013.safetensors",
|
| 91 |
+
"model.layers.15.self_attn.k_norm.weight": "model-00005-of-00013.safetensors",
|
| 92 |
+
"model.layers.15.self_attn.k_proj.weight": "model-00005-of-00013.safetensors",
|
| 93 |
+
"model.layers.15.self_attn.o_proj.weight": "model-00005-of-00013.safetensors",
|
| 94 |
+
"model.layers.15.self_attn.q_norm.weight": "model-00005-of-00013.safetensors",
|
| 95 |
+
"model.layers.15.self_attn.q_proj.weight": "model-00005-of-00013.safetensors",
|
| 96 |
+
"model.layers.15.self_attn.v_proj.weight": "model-00005-of-00013.safetensors",
|
| 97 |
+
"model.layers.16.input_layernorm.weight": "model-00006-of-00013.safetensors",
|
| 98 |
+
"model.layers.16.mlp.down_proj.weight": "model-00006-of-00013.safetensors",
|
| 99 |
+
"model.layers.16.mlp.gate_proj.weight": "model-00006-of-00013.safetensors",
|
| 100 |
+
"model.layers.16.mlp.up_proj.weight": "model-00006-of-00013.safetensors",
|
| 101 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00006-of-00013.safetensors",
|
| 102 |
+
"model.layers.16.self_attn.k_norm.weight": "model-00006-of-00013.safetensors",
|
| 103 |
+
"model.layers.16.self_attn.k_proj.weight": "model-00006-of-00013.safetensors",
|
| 104 |
+
"model.layers.16.self_attn.o_proj.weight": "model-00006-of-00013.safetensors",
|
| 105 |
+
"model.layers.16.self_attn.q_norm.weight": "model-00006-of-00013.safetensors",
|
| 106 |
+
"model.layers.16.self_attn.q_proj.weight": "model-00006-of-00013.safetensors",
|
| 107 |
+
"model.layers.16.self_attn.v_proj.weight": "model-00006-of-00013.safetensors",
|
| 108 |
+
"model.layers.17.input_layernorm.weight": "model-00006-of-00013.safetensors",
|
| 109 |
+
"model.layers.17.mlp.down_proj.weight": "model-00006-of-00013.safetensors",
|
| 110 |
+
"model.layers.17.mlp.gate_proj.weight": "model-00006-of-00013.safetensors",
|
| 111 |
+
"model.layers.17.mlp.up_proj.weight": "model-00006-of-00013.safetensors",
|
| 112 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00006-of-00013.safetensors",
|
| 113 |
+
"model.layers.17.self_attn.k_norm.weight": "model-00006-of-00013.safetensors",
|
| 114 |
+
"model.layers.17.self_attn.k_proj.weight": "model-00006-of-00013.safetensors",
|
| 115 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00006-of-00013.safetensors",
|
| 116 |
+
"model.layers.17.self_attn.q_norm.weight": "model-00006-of-00013.safetensors",
|
| 117 |
+
"model.layers.17.self_attn.q_proj.weight": "model-00006-of-00013.safetensors",
|
| 118 |
+
"model.layers.17.self_attn.v_proj.weight": "model-00006-of-00013.safetensors",
|
| 119 |
+
"model.layers.18.input_layernorm.weight": "model-00006-of-00013.safetensors",
|
| 120 |
+
"model.layers.18.mlp.down_proj.weight": "model-00006-of-00013.safetensors",
|
| 121 |
+
"model.layers.18.mlp.gate_proj.weight": "model-00006-of-00013.safetensors",
|
| 122 |
+
"model.layers.18.mlp.up_proj.weight": "model-00006-of-00013.safetensors",
|
| 123 |
+
"model.layers.18.post_attention_layernorm.weight": "model-00006-of-00013.safetensors",
|
| 124 |
+
"model.layers.18.self_attn.k_norm.weight": "model-00006-of-00013.safetensors",
|
| 125 |
+
"model.layers.18.self_attn.k_proj.weight": "model-00006-of-00013.safetensors",
|
| 126 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00006-of-00013.safetensors",
|
| 127 |
+
"model.layers.18.self_attn.q_norm.weight": "model-00006-of-00013.safetensors",
|
| 128 |
+
"model.layers.18.self_attn.q_proj.weight": "model-00006-of-00013.safetensors",
|
| 129 |
+
"model.layers.18.self_attn.v_proj.weight": "model-00006-of-00013.safetensors",
|
| 130 |
+
"model.layers.19.input_layernorm.weight": "model-00007-of-00013.safetensors",
|
| 131 |
+
"model.layers.19.mlp.down_proj.weight": "model-00007-of-00013.safetensors",
|
| 132 |
+
"model.layers.19.mlp.gate_proj.weight": "model-00006-of-00013.safetensors",
|
| 133 |
+
"model.layers.19.mlp.up_proj.weight": "model-00007-of-00013.safetensors",
|
| 134 |
+
"model.layers.19.post_attention_layernorm.weight": "model-00007-of-00013.safetensors",
|
| 135 |
+
"model.layers.19.self_attn.k_norm.weight": "model-00006-of-00013.safetensors",
|
| 136 |
+
"model.layers.19.self_attn.k_proj.weight": "model-00006-of-00013.safetensors",
|
| 137 |
+
"model.layers.19.self_attn.o_proj.weight": "model-00006-of-00013.safetensors",
|
| 138 |
+
"model.layers.19.self_attn.q_norm.weight": "model-00006-of-00013.safetensors",
|
| 139 |
+
"model.layers.19.self_attn.q_proj.weight": "model-00006-of-00013.safetensors",
|
| 140 |
+
"model.layers.19.self_attn.v_proj.weight": "model-00006-of-00013.safetensors",
|
| 141 |
+
"model.layers.2.input_layernorm.weight": "model-00002-of-00013.safetensors",
|
| 142 |
+
"model.layers.2.mlp.down_proj.weight": "model-00002-of-00013.safetensors",
|
| 143 |
+
"model.layers.2.mlp.gate_proj.weight": "model-00002-of-00013.safetensors",
|
| 144 |
+
"model.layers.2.mlp.up_proj.weight": "model-00002-of-00013.safetensors",
|
| 145 |
+
"model.layers.2.post_attention_layernorm.weight": "model-00002-of-00013.safetensors",
|
| 146 |
+
"model.layers.2.self_attn.k_norm.weight": "model-00002-of-00013.safetensors",
|
| 147 |
+
"model.layers.2.self_attn.k_proj.weight": "model-00002-of-00013.safetensors",
|
| 148 |
+
"model.layers.2.self_attn.o_proj.weight": "model-00002-of-00013.safetensors",
|
| 149 |
+
"model.layers.2.self_attn.q_norm.weight": "model-00002-of-00013.safetensors",
|
| 150 |
+
"model.layers.2.self_attn.q_proj.weight": "model-00002-of-00013.safetensors",
|
| 151 |
+
"model.layers.2.self_attn.v_proj.weight": "model-00002-of-00013.safetensors",
|
| 152 |
+
"model.layers.20.input_layernorm.weight": "model-00007-of-00013.safetensors",
|
| 153 |
+
"model.layers.20.mlp.down_proj.weight": "model-00007-of-00013.safetensors",
|
| 154 |
+
"model.layers.20.mlp.gate_proj.weight": "model-00007-of-00013.safetensors",
|
| 155 |
+
"model.layers.20.mlp.up_proj.weight": "model-00007-of-00013.safetensors",
|
| 156 |
+
"model.layers.20.post_attention_layernorm.weight": "model-00007-of-00013.safetensors",
|
| 157 |
+
"model.layers.20.self_attn.k_norm.weight": "model-00007-of-00013.safetensors",
|
| 158 |
+
"model.layers.20.self_attn.k_proj.weight": "model-00007-of-00013.safetensors",
|
| 159 |
+
"model.layers.20.self_attn.o_proj.weight": "model-00007-of-00013.safetensors",
|
| 160 |
+
"model.layers.20.self_attn.q_norm.weight": "model-00007-of-00013.safetensors",
|
| 161 |
+
"model.layers.20.self_attn.q_proj.weight": "model-00007-of-00013.safetensors",
|
| 162 |
+
"model.layers.20.self_attn.v_proj.weight": "model-00007-of-00013.safetensors",
|
| 163 |
+
"model.layers.21.input_layernorm.weight": "model-00007-of-00013.safetensors",
|
| 164 |
+
"model.layers.21.mlp.down_proj.weight": "model-00007-of-00013.safetensors",
|
| 165 |
+
"model.layers.21.mlp.gate_proj.weight": "model-00007-of-00013.safetensors",
|
| 166 |
+
"model.layers.21.mlp.up_proj.weight": "model-00007-of-00013.safetensors",
|
| 167 |
+
"model.layers.21.post_attention_layernorm.weight": "model-00007-of-00013.safetensors",
|
| 168 |
+
"model.layers.21.self_attn.k_norm.weight": "model-00007-of-00013.safetensors",
|
| 169 |
+
"model.layers.21.self_attn.k_proj.weight": "model-00007-of-00013.safetensors",
|
| 170 |
+
"model.layers.21.self_attn.o_proj.weight": "model-00007-of-00013.safetensors",
|
| 171 |
+
"model.layers.21.self_attn.q_norm.weight": "model-00007-of-00013.safetensors",
|
| 172 |
+
"model.layers.21.self_attn.q_proj.weight": "model-00007-of-00013.safetensors",
|
| 173 |
+
"model.layers.21.self_attn.v_proj.weight": "model-00007-of-00013.safetensors",
|
| 174 |
+
"model.layers.22.input_layernorm.weight": "model-00007-of-00013.safetensors",
|
| 175 |
+
"model.layers.22.mlp.down_proj.weight": "model-00007-of-00013.safetensors",
|
| 176 |
+
"model.layers.22.mlp.gate_proj.weight": "model-00007-of-00013.safetensors",
|
| 177 |
+
"model.layers.22.mlp.up_proj.weight": "model-00007-of-00013.safetensors",
|
| 178 |
+
"model.layers.22.post_attention_layernorm.weight": "model-00007-of-00013.safetensors",
|
| 179 |
+
"model.layers.22.self_attn.k_norm.weight": "model-00007-of-00013.safetensors",
|
| 180 |
+
"model.layers.22.self_attn.k_proj.weight": "model-00007-of-00013.safetensors",
|
| 181 |
+
"model.layers.22.self_attn.o_proj.weight": "model-00007-of-00013.safetensors",
|
| 182 |
+
"model.layers.22.self_attn.q_norm.weight": "model-00007-of-00013.safetensors",
|
| 183 |
+
"model.layers.22.self_attn.q_proj.weight": "model-00007-of-00013.safetensors",
|
| 184 |
+
"model.layers.22.self_attn.v_proj.weight": "model-00007-of-00013.safetensors",
|
| 185 |
+
"model.layers.23.input_layernorm.weight": "model-00008-of-00013.safetensors",
|
| 186 |
+
"model.layers.23.mlp.down_proj.weight": "model-00008-of-00013.safetensors",
|
| 187 |
+
"model.layers.23.mlp.gate_proj.weight": "model-00008-of-00013.safetensors",
|
| 188 |
+
"model.layers.23.mlp.up_proj.weight": "model-00008-of-00013.safetensors",
|
| 189 |
+
"model.layers.23.post_attention_layernorm.weight": "model-00008-of-00013.safetensors",
|
| 190 |
+
"model.layers.23.self_attn.k_norm.weight": "model-00007-of-00013.safetensors",
|
| 191 |
+
"model.layers.23.self_attn.k_proj.weight": "model-00007-of-00013.safetensors",
|
| 192 |
+
"model.layers.23.self_attn.o_proj.weight": "model-00007-of-00013.safetensors",
|
| 193 |
+
"model.layers.23.self_attn.q_norm.weight": "model-00007-of-00013.safetensors",
|
| 194 |
+
"model.layers.23.self_attn.q_proj.weight": "model-00007-of-00013.safetensors",
|
| 195 |
+
"model.layers.23.self_attn.v_proj.weight": "model-00007-of-00013.safetensors",
|
| 196 |
+
"model.layers.24.input_layernorm.weight": "model-00008-of-00013.safetensors",
|
| 197 |
+
"model.layers.24.mlp.down_proj.weight": "model-00008-of-00013.safetensors",
|
| 198 |
+
"model.layers.24.mlp.gate_proj.weight": "model-00008-of-00013.safetensors",
|
| 199 |
+
"model.layers.24.mlp.up_proj.weight": "model-00008-of-00013.safetensors",
|
| 200 |
+
"model.layers.24.post_attention_layernorm.weight": "model-00008-of-00013.safetensors",
|
| 201 |
+
"model.layers.24.self_attn.k_norm.weight": "model-00008-of-00013.safetensors",
|
| 202 |
+
"model.layers.24.self_attn.k_proj.weight": "model-00008-of-00013.safetensors",
|
| 203 |
+
"model.layers.24.self_attn.o_proj.weight": "model-00008-of-00013.safetensors",
|
| 204 |
+
"model.layers.24.self_attn.q_norm.weight": "model-00008-of-00013.safetensors",
|
| 205 |
+
"model.layers.24.self_attn.q_proj.weight": "model-00008-of-00013.safetensors",
|
| 206 |
+
"model.layers.24.self_attn.v_proj.weight": "model-00008-of-00013.safetensors",
|
| 207 |
+
"model.layers.25.input_layernorm.weight": "model-00008-of-00013.safetensors",
|
| 208 |
+
"model.layers.25.mlp.down_proj.weight": "model-00008-of-00013.safetensors",
|
| 209 |
+
"model.layers.25.mlp.gate_proj.weight": "model-00008-of-00013.safetensors",
|
| 210 |
+
"model.layers.25.mlp.up_proj.weight": "model-00008-of-00013.safetensors",
|
| 211 |
+
"model.layers.25.post_attention_layernorm.weight": "model-00008-of-00013.safetensors",
|
| 212 |
+
"model.layers.25.self_attn.k_norm.weight": "model-00008-of-00013.safetensors",
|
| 213 |
+
"model.layers.25.self_attn.k_proj.weight": "model-00008-of-00013.safetensors",
|
| 214 |
+
"model.layers.25.self_attn.o_proj.weight": "model-00008-of-00013.safetensors",
|
| 215 |
+
"model.layers.25.self_attn.q_norm.weight": "model-00008-of-00013.safetensors",
|
| 216 |
+
"model.layers.25.self_attn.q_proj.weight": "model-00008-of-00013.safetensors",
|
| 217 |
+
"model.layers.25.self_attn.v_proj.weight": "model-00008-of-00013.safetensors",
|
| 218 |
+
"model.layers.26.input_layernorm.weight": "model-00009-of-00013.safetensors",
|
| 219 |
+
"model.layers.26.mlp.down_proj.weight": "model-00009-of-00013.safetensors",
|
| 220 |
+
"model.layers.26.mlp.gate_proj.weight": "model-00008-of-00013.safetensors",
|
| 221 |
+
"model.layers.26.mlp.up_proj.weight": "model-00008-of-00013.safetensors",
|
| 222 |
+
"model.layers.26.post_attention_layernorm.weight": "model-00009-of-00013.safetensors",
|
| 223 |
+
"model.layers.26.self_attn.k_norm.weight": "model-00008-of-00013.safetensors",
|
| 224 |
+
"model.layers.26.self_attn.k_proj.weight": "model-00008-of-00013.safetensors",
|
| 225 |
+
"model.layers.26.self_attn.o_proj.weight": "model-00008-of-00013.safetensors",
|
| 226 |
+
"model.layers.26.self_attn.q_norm.weight": "model-00008-of-00013.safetensors",
|
| 227 |
+
"model.layers.26.self_attn.q_proj.weight": "model-00008-of-00013.safetensors",
|
| 228 |
+
"model.layers.26.self_attn.v_proj.weight": "model-00008-of-00013.safetensors",
|
| 229 |
+
"model.layers.27.input_layernorm.weight": "model-00009-of-00013.safetensors",
|
| 230 |
+
"model.layers.27.mlp.down_proj.weight": "model-00009-of-00013.safetensors",
|
| 231 |
+
"model.layers.27.mlp.gate_proj.weight": "model-00009-of-00013.safetensors",
|
| 232 |
+
"model.layers.27.mlp.up_proj.weight": "model-00009-of-00013.safetensors",
|
| 233 |
+
"model.layers.27.post_attention_layernorm.weight": "model-00009-of-00013.safetensors",
|
| 234 |
+
"model.layers.27.self_attn.k_norm.weight": "model-00009-of-00013.safetensors",
|
| 235 |
+
"model.layers.27.self_attn.k_proj.weight": "model-00009-of-00013.safetensors",
|
| 236 |
+
"model.layers.27.self_attn.o_proj.weight": "model-00009-of-00013.safetensors",
|
| 237 |
+
"model.layers.27.self_attn.q_norm.weight": "model-00009-of-00013.safetensors",
|
| 238 |
+
"model.layers.27.self_attn.q_proj.weight": "model-00009-of-00013.safetensors",
|
| 239 |
+
"model.layers.27.self_attn.v_proj.weight": "model-00009-of-00013.safetensors",
|
| 240 |
+
"model.layers.28.input_layernorm.weight": "model-00009-of-00013.safetensors",
|
| 241 |
+
"model.layers.28.mlp.down_proj.weight": "model-00009-of-00013.safetensors",
|
| 242 |
+
"model.layers.28.mlp.gate_proj.weight": "model-00009-of-00013.safetensors",
|
| 243 |
+
"model.layers.28.mlp.up_proj.weight": "model-00009-of-00013.safetensors",
|
| 244 |
+
"model.layers.28.post_attention_layernorm.weight": "model-00009-of-00013.safetensors",
|
| 245 |
+
"model.layers.28.self_attn.k_norm.weight": "model-00009-of-00013.safetensors",
|
| 246 |
+
"model.layers.28.self_attn.k_proj.weight": "model-00009-of-00013.safetensors",
|
| 247 |
+
"model.layers.28.self_attn.o_proj.weight": "model-00009-of-00013.safetensors",
|
| 248 |
+
"model.layers.28.self_attn.q_norm.weight": "model-00009-of-00013.safetensors",
|
| 249 |
+
"model.layers.28.self_attn.q_proj.weight": "model-00009-of-00013.safetensors",
|
| 250 |
+
"model.layers.28.self_attn.v_proj.weight": "model-00009-of-00013.safetensors",
|
| 251 |
+
"model.layers.29.input_layernorm.weight": "model-00009-of-00013.safetensors",
|
| 252 |
+
"model.layers.29.mlp.down_proj.weight": "model-00009-of-00013.safetensors",
|
| 253 |
+
"model.layers.29.mlp.gate_proj.weight": "model-00009-of-00013.safetensors",
|
| 254 |
+
"model.layers.29.mlp.up_proj.weight": "model-00009-of-00013.safetensors",
|
| 255 |
+
"model.layers.29.post_attention_layernorm.weight": "model-00009-of-00013.safetensors",
|
| 256 |
+
"model.layers.29.self_attn.k_norm.weight": "model-00009-of-00013.safetensors",
|
| 257 |
+
"model.layers.29.self_attn.k_proj.weight": "model-00009-of-00013.safetensors",
|
| 258 |
+
"model.layers.29.self_attn.o_proj.weight": "model-00009-of-00013.safetensors",
|
| 259 |
+
"model.layers.29.self_attn.q_norm.weight": "model-00009-of-00013.safetensors",
|
| 260 |
+
"model.layers.29.self_attn.q_proj.weight": "model-00009-of-00013.safetensors",
|
| 261 |
+
"model.layers.29.self_attn.v_proj.weight": "model-00009-of-00013.safetensors",
|
| 262 |
+
"model.layers.3.input_layernorm.weight": "model-00002-of-00013.safetensors",
|
| 263 |
+
"model.layers.3.mlp.down_proj.weight": "model-00002-of-00013.safetensors",
|
| 264 |
+
"model.layers.3.mlp.gate_proj.weight": "model-00002-of-00013.safetensors",
|
| 265 |
+
"model.layers.3.mlp.up_proj.weight": "model-00002-of-00013.safetensors",
|
| 266 |
+
"model.layers.3.post_attention_layernorm.weight": "model-00002-of-00013.safetensors",
|
| 267 |
+
"model.layers.3.self_attn.k_norm.weight": "model-00002-of-00013.safetensors",
|
| 268 |
+
"model.layers.3.self_attn.k_proj.weight": "model-00002-of-00013.safetensors",
|
| 269 |
+
"model.layers.3.self_attn.o_proj.weight": "model-00002-of-00013.safetensors",
|
| 270 |
+
"model.layers.3.self_attn.q_norm.weight": "model-00002-of-00013.safetensors",
|
| 271 |
+
"model.layers.3.self_attn.q_proj.weight": "model-00002-of-00013.safetensors",
|
| 272 |
+
"model.layers.3.self_attn.v_proj.weight": "model-00002-of-00013.safetensors",
|
| 273 |
+
"model.layers.30.input_layernorm.weight": "model-00010-of-00013.safetensors",
|
| 274 |
+
"model.layers.30.mlp.down_proj.weight": "model-00010-of-00013.safetensors",
|
| 275 |
+
"model.layers.30.mlp.gate_proj.weight": "model-00009-of-00013.safetensors",
|
| 276 |
+
"model.layers.30.mlp.up_proj.weight": "model-00010-of-00013.safetensors",
|
| 277 |
+
"model.layers.30.post_attention_layernorm.weight": "model-00010-of-00013.safetensors",
|
| 278 |
+
"model.layers.30.self_attn.k_norm.weight": "model-00009-of-00013.safetensors",
|
| 279 |
+
"model.layers.30.self_attn.k_proj.weight": "model-00009-of-00013.safetensors",
|
| 280 |
+
"model.layers.30.self_attn.o_proj.weight": "model-00009-of-00013.safetensors",
|
| 281 |
+
"model.layers.30.self_attn.q_norm.weight": "model-00009-of-00013.safetensors",
|
| 282 |
+
"model.layers.30.self_attn.q_proj.weight": "model-00009-of-00013.safetensors",
|
| 283 |
+
"model.layers.30.self_attn.v_proj.weight": "model-00009-of-00013.safetensors",
|
| 284 |
+
"model.layers.31.input_layernorm.weight": "model-00010-of-00013.safetensors",
|
| 285 |
+
"model.layers.31.mlp.down_proj.weight": "model-00010-of-00013.safetensors",
|
| 286 |
+
"model.layers.31.mlp.gate_proj.weight": "model-00010-of-00013.safetensors",
|
| 287 |
+
"model.layers.31.mlp.up_proj.weight": "model-00010-of-00013.safetensors",
|
| 288 |
+
"model.layers.31.post_attention_layernorm.weight": "model-00010-of-00013.safetensors",
|
| 289 |
+
"model.layers.31.self_attn.k_norm.weight": "model-00010-of-00013.safetensors",
|
| 290 |
+
"model.layers.31.self_attn.k_proj.weight": "model-00010-of-00013.safetensors",
|
| 291 |
+
"model.layers.31.self_attn.o_proj.weight": "model-00010-of-00013.safetensors",
|
| 292 |
+
"model.layers.31.self_attn.q_norm.weight": "model-00010-of-00013.safetensors",
|
| 293 |
+
"model.layers.31.self_attn.q_proj.weight": "model-00010-of-00013.safetensors",
|
| 294 |
+
"model.layers.31.self_attn.v_proj.weight": "model-00010-of-00013.safetensors",
|
| 295 |
+
"model.layers.32.input_layernorm.weight": "model-00010-of-00013.safetensors",
|
| 296 |
+
"model.layers.32.mlp.down_proj.weight": "model-00010-of-00013.safetensors",
|
| 297 |
+
"model.layers.32.mlp.gate_proj.weight": "model-00010-of-00013.safetensors",
|
| 298 |
+
"model.layers.32.mlp.up_proj.weight": "model-00010-of-00013.safetensors",
|
| 299 |
+
"model.layers.32.post_attention_layernorm.weight": "model-00010-of-00013.safetensors",
|
| 300 |
+
"model.layers.32.self_attn.k_norm.weight": "model-00010-of-00013.safetensors",
|
| 301 |
+
"model.layers.32.self_attn.k_proj.weight": "model-00010-of-00013.safetensors",
|
| 302 |
+
"model.layers.32.self_attn.o_proj.weight": "model-00010-of-00013.safetensors",
|
| 303 |
+
"model.layers.32.self_attn.q_norm.weight": "model-00010-of-00013.safetensors",
|
| 304 |
+
"model.layers.32.self_attn.q_proj.weight": "model-00010-of-00013.safetensors",
|
| 305 |
+
"model.layers.32.self_attn.v_proj.weight": "model-00010-of-00013.safetensors",
|
| 306 |
+
"model.layers.33.input_layernorm.weight": "model-00010-of-00013.safetensors",
|
| 307 |
+
"model.layers.33.mlp.down_proj.weight": "model-00010-of-00013.safetensors",
|
| 308 |
+
"model.layers.33.mlp.gate_proj.weight": "model-00010-of-00013.safetensors",
|
| 309 |
+
"model.layers.33.mlp.up_proj.weight": "model-00010-of-00013.safetensors",
|
| 310 |
+
"model.layers.33.post_attention_layernorm.weight": "model-00010-of-00013.safetensors",
|
| 311 |
+
"model.layers.33.self_attn.k_norm.weight": "model-00010-of-00013.safetensors",
|
| 312 |
+
"model.layers.33.self_attn.k_proj.weight": "model-00010-of-00013.safetensors",
|
| 313 |
+
"model.layers.33.self_attn.o_proj.weight": "model-00010-of-00013.safetensors",
|
| 314 |
+
"model.layers.33.self_attn.q_norm.weight": "model-00010-of-00013.safetensors",
|
| 315 |
+
"model.layers.33.self_attn.q_proj.weight": "model-00010-of-00013.safetensors",
|
| 316 |
+
"model.layers.33.self_attn.v_proj.weight": "model-00010-of-00013.safetensors",
|
| 317 |
+
"model.layers.34.input_layernorm.weight": "model-00011-of-00013.safetensors",
|
| 318 |
+
"model.layers.34.mlp.down_proj.weight": "model-00011-of-00013.safetensors",
|
| 319 |
+
"model.layers.34.mlp.gate_proj.weight": "model-00011-of-00013.safetensors",
|
| 320 |
+
"model.layers.34.mlp.up_proj.weight": "model-00011-of-00013.safetensors",
|
| 321 |
+
"model.layers.34.post_attention_layernorm.weight": "model-00011-of-00013.safetensors",
|
| 322 |
+
"model.layers.34.self_attn.k_norm.weight": "model-00010-of-00013.safetensors",
|
| 323 |
+
"model.layers.34.self_attn.k_proj.weight": "model-00010-of-00013.safetensors",
|
| 324 |
+
"model.layers.34.self_attn.o_proj.weight": "model-00010-of-00013.safetensors",
|
| 325 |
+
"model.layers.34.self_attn.q_norm.weight": "model-00010-of-00013.safetensors",
|
| 326 |
+
"model.layers.34.self_attn.q_proj.weight": "model-00010-of-00013.safetensors",
|
| 327 |
+
"model.layers.34.self_attn.v_proj.weight": "model-00010-of-00013.safetensors",
|
| 328 |
+
"model.layers.35.input_layernorm.weight": "model-00011-of-00013.safetensors",
|
| 329 |
+
"model.layers.35.mlp.down_proj.weight": "model-00011-of-00013.safetensors",
|
| 330 |
+
"model.layers.35.mlp.gate_proj.weight": "model-00011-of-00013.safetensors",
|
| 331 |
+
"model.layers.35.mlp.up_proj.weight": "model-00011-of-00013.safetensors",
|
| 332 |
+
"model.layers.35.post_attention_layernorm.weight": "model-00011-of-00013.safetensors",
|
| 333 |
+
"model.layers.35.self_attn.k_norm.weight": "model-00011-of-00013.safetensors",
|
| 334 |
+
"model.layers.35.self_attn.k_proj.weight": "model-00011-of-00013.safetensors",
|
| 335 |
+
"model.layers.35.self_attn.o_proj.weight": "model-00011-of-00013.safetensors",
|
| 336 |
+
"model.layers.35.self_attn.q_norm.weight": "model-00011-of-00013.safetensors",
|
| 337 |
+
"model.layers.35.self_attn.q_proj.weight": "model-00011-of-00013.safetensors",
|
| 338 |
+
"model.layers.35.self_attn.v_proj.weight": "model-00011-of-00013.safetensors",
|
| 339 |
+
"model.layers.36.input_layernorm.weight": "model-00011-of-00013.safetensors",
|
| 340 |
+
"model.layers.36.mlp.down_proj.weight": "model-00011-of-00013.safetensors",
|
| 341 |
+
"model.layers.36.mlp.gate_proj.weight": "model-00011-of-00013.safetensors",
|
| 342 |
+
"model.layers.36.mlp.up_proj.weight": "model-00011-of-00013.safetensors",
|
| 343 |
+
"model.layers.36.post_attention_layernorm.weight": "model-00011-of-00013.safetensors",
|
| 344 |
+
"model.layers.36.self_attn.k_norm.weight": "model-00011-of-00013.safetensors",
|
| 345 |
+
"model.layers.36.self_attn.k_proj.weight": "model-00011-of-00013.safetensors",
|
| 346 |
+
"model.layers.36.self_attn.o_proj.weight": "model-00011-of-00013.safetensors",
|
| 347 |
+
"model.layers.36.self_attn.q_norm.weight": "model-00011-of-00013.safetensors",
|
| 348 |
+
"model.layers.36.self_attn.q_proj.weight": "model-00011-of-00013.safetensors",
|
| 349 |
+
"model.layers.36.self_attn.v_proj.weight": "model-00011-of-00013.safetensors",
|
| 350 |
+
"model.layers.37.input_layernorm.weight": "model-00012-of-00013.safetensors",
|
| 351 |
+
"model.layers.37.mlp.down_proj.weight": "model-00012-of-00013.safetensors",
|
| 352 |
+
"model.layers.37.mlp.gate_proj.weight": "model-00011-of-00013.safetensors",
|
| 353 |
+
"model.layers.37.mlp.up_proj.weight": "model-00011-of-00013.safetensors",
|
| 354 |
+
"model.layers.37.post_attention_layernorm.weight": "model-00012-of-00013.safetensors",
|
| 355 |
+
"model.layers.37.self_attn.k_norm.weight": "model-00011-of-00013.safetensors",
|
| 356 |
+
"model.layers.37.self_attn.k_proj.weight": "model-00011-of-00013.safetensors",
|
| 357 |
+
"model.layers.37.self_attn.o_proj.weight": "model-00011-of-00013.safetensors",
|
| 358 |
+
"model.layers.37.self_attn.q_norm.weight": "model-00011-of-00013.safetensors",
|
| 359 |
+
"model.layers.37.self_attn.q_proj.weight": "model-00011-of-00013.safetensors",
|
| 360 |
+
"model.layers.37.self_attn.v_proj.weight": "model-00011-of-00013.safetensors",
|
| 361 |
+
"model.layers.38.input_layernorm.weight": "model-00012-of-00013.safetensors",
|
| 362 |
+
"model.layers.38.mlp.down_proj.weight": "model-00012-of-00013.safetensors",
|
| 363 |
+
"model.layers.38.mlp.gate_proj.weight": "model-00012-of-00013.safetensors",
|
| 364 |
+
"model.layers.38.mlp.up_proj.weight": "model-00012-of-00013.safetensors",
|
| 365 |
+
"model.layers.38.post_attention_layernorm.weight": "model-00012-of-00013.safetensors",
|
| 366 |
+
"model.layers.38.self_attn.k_norm.weight": "model-00012-of-00013.safetensors",
|
| 367 |
+
"model.layers.38.self_attn.k_proj.weight": "model-00012-of-00013.safetensors",
|
| 368 |
+
"model.layers.38.self_attn.o_proj.weight": "model-00012-of-00013.safetensors",
|
| 369 |
+
"model.layers.38.self_attn.q_norm.weight": "model-00012-of-00013.safetensors",
|
| 370 |
+
"model.layers.38.self_attn.q_proj.weight": "model-00012-of-00013.safetensors",
|
| 371 |
+
"model.layers.38.self_attn.v_proj.weight": "model-00012-of-00013.safetensors",
|
| 372 |
+
"model.layers.39.input_layernorm.weight": "model-00012-of-00013.safetensors",
|
| 373 |
+
"model.layers.39.mlp.down_proj.weight": "model-00012-of-00013.safetensors",
|
| 374 |
+
"model.layers.39.mlp.gate_proj.weight": "model-00012-of-00013.safetensors",
|
| 375 |
+
"model.layers.39.mlp.up_proj.weight": "model-00012-of-00013.safetensors",
|
| 376 |
+
"model.layers.39.post_attention_layernorm.weight": "model-00012-of-00013.safetensors",
|
| 377 |
+
"model.layers.39.self_attn.k_norm.weight": "model-00012-of-00013.safetensors",
|
| 378 |
+
"model.layers.39.self_attn.k_proj.weight": "model-00012-of-00013.safetensors",
|
| 379 |
+
"model.layers.39.self_attn.o_proj.weight": "model-00012-of-00013.safetensors",
|
| 380 |
+
"model.layers.39.self_attn.q_norm.weight": "model-00012-of-00013.safetensors",
|
| 381 |
+
"model.layers.39.self_attn.q_proj.weight": "model-00012-of-00013.safetensors",
|
| 382 |
+
"model.layers.39.self_attn.v_proj.weight": "model-00012-of-00013.safetensors",
|
| 383 |
+
"model.layers.4.input_layernorm.weight": "model-00003-of-00013.safetensors",
|
| 384 |
+
"model.layers.4.mlp.down_proj.weight": "model-00003-of-00013.safetensors",
|
| 385 |
+
"model.layers.4.mlp.gate_proj.weight": "model-00002-of-00013.safetensors",
|
| 386 |
+
"model.layers.4.mlp.up_proj.weight": "model-00002-of-00013.safetensors",
|
| 387 |
+
"model.layers.4.post_attention_layernorm.weight": "model-00003-of-00013.safetensors",
|
| 388 |
+
"model.layers.4.self_attn.k_norm.weight": "model-00002-of-00013.safetensors",
|
| 389 |
+
"model.layers.4.self_attn.k_proj.weight": "model-00002-of-00013.safetensors",
|
| 390 |
+
"model.layers.4.self_attn.o_proj.weight": "model-00002-of-00013.safetensors",
|
| 391 |
+
"model.layers.4.self_attn.q_norm.weight": "model-00002-of-00013.safetensors",
|
| 392 |
+
"model.layers.4.self_attn.q_proj.weight": "model-00002-of-00013.safetensors",
|
| 393 |
+
"model.layers.4.self_attn.v_proj.weight": "model-00002-of-00013.safetensors",
|
| 394 |
+
"model.layers.5.input_layernorm.weight": "model-00003-of-00013.safetensors",
|
| 395 |
+
"model.layers.5.mlp.down_proj.weight": "model-00003-of-00013.safetensors",
|
| 396 |
+
"model.layers.5.mlp.gate_proj.weight": "model-00003-of-00013.safetensors",
|
| 397 |
+
"model.layers.5.mlp.up_proj.weight": "model-00003-of-00013.safetensors",
|
| 398 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00003-of-00013.safetensors",
|
| 399 |
+
"model.layers.5.self_attn.k_norm.weight": "model-00003-of-00013.safetensors",
|
| 400 |
+
"model.layers.5.self_attn.k_proj.weight": "model-00003-of-00013.safetensors",
|
| 401 |
+
"model.layers.5.self_attn.o_proj.weight": "model-00003-of-00013.safetensors",
|
| 402 |
+
"model.layers.5.self_attn.q_norm.weight": "model-00003-of-00013.safetensors",
|
| 403 |
+
"model.layers.5.self_attn.q_proj.weight": "model-00003-of-00013.safetensors",
|
| 404 |
+
"model.layers.5.self_attn.v_proj.weight": "model-00003-of-00013.safetensors",
|
| 405 |
+
"model.layers.6.input_layernorm.weight": "model-00003-of-00013.safetensors",
|
| 406 |
+
"model.layers.6.mlp.down_proj.weight": "model-00003-of-00013.safetensors",
|
| 407 |
+
"model.layers.6.mlp.gate_proj.weight": "model-00003-of-00013.safetensors",
|
| 408 |
+
"model.layers.6.mlp.up_proj.weight": "model-00003-of-00013.safetensors",
|
| 409 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00003-of-00013.safetensors",
|
| 410 |
+
"model.layers.6.self_attn.k_norm.weight": "model-00003-of-00013.safetensors",
|
| 411 |
+
"model.layers.6.self_attn.k_proj.weight": "model-00003-of-00013.safetensors",
|
| 412 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00003-of-00013.safetensors",
|
| 413 |
+
"model.layers.6.self_attn.q_norm.weight": "model-00003-of-00013.safetensors",
|
| 414 |
+
"model.layers.6.self_attn.q_proj.weight": "model-00003-of-00013.safetensors",
|
| 415 |
+
"model.layers.6.self_attn.v_proj.weight": "model-00003-of-00013.safetensors",
|
| 416 |
+
"model.layers.7.input_layernorm.weight": "model-00003-of-00013.safetensors",
|
| 417 |
+
"model.layers.7.mlp.down_proj.weight": "model-00003-of-00013.safetensors",
|
| 418 |
+
"model.layers.7.mlp.gate_proj.weight": "model-00003-of-00013.safetensors",
|
| 419 |
+
"model.layers.7.mlp.up_proj.weight": "model-00003-of-00013.safetensors",
|
| 420 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00003-of-00013.safetensors",
|
| 421 |
+
"model.layers.7.self_attn.k_norm.weight": "model-00003-of-00013.safetensors",
|
| 422 |
+
"model.layers.7.self_attn.k_proj.weight": "model-00003-of-00013.safetensors",
|
| 423 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00003-of-00013.safetensors",
|
| 424 |
+
"model.layers.7.self_attn.q_norm.weight": "model-00003-of-00013.safetensors",
|
| 425 |
+
"model.layers.7.self_attn.q_proj.weight": "model-00003-of-00013.safetensors",
|
| 426 |
+
"model.layers.7.self_attn.v_proj.weight": "model-00003-of-00013.safetensors",
|
| 427 |
+
"model.layers.8.input_layernorm.weight": "model-00004-of-00013.safetensors",
|
| 428 |
+
"model.layers.8.mlp.down_proj.weight": "model-00004-of-00013.safetensors",
|
| 429 |
+
"model.layers.8.mlp.gate_proj.weight": "model-00003-of-00013.safetensors",
|
| 430 |
+
"model.layers.8.mlp.up_proj.weight": "model-00004-of-00013.safetensors",
|
| 431 |
+
"model.layers.8.post_attention_layernorm.weight": "model-00004-of-00013.safetensors",
|
| 432 |
+
"model.layers.8.self_attn.k_norm.weight": "model-00003-of-00013.safetensors",
|
| 433 |
+
"model.layers.8.self_attn.k_proj.weight": "model-00003-of-00013.safetensors",
|
| 434 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00003-of-00013.safetensors",
|
| 435 |
+
"model.layers.8.self_attn.q_norm.weight": "model-00003-of-00013.safetensors",
|
| 436 |
+
"model.layers.8.self_attn.q_proj.weight": "model-00003-of-00013.safetensors",
|
| 437 |
+
"model.layers.8.self_attn.v_proj.weight": "model-00003-of-00013.safetensors",
|
| 438 |
+
"model.layers.9.input_layernorm.weight": "model-00004-of-00013.safetensors",
|
| 439 |
+
"model.layers.9.mlp.down_proj.weight": "model-00004-of-00013.safetensors",
|
| 440 |
+
"model.layers.9.mlp.gate_proj.weight": "model-00004-of-00013.safetensors",
|
| 441 |
+
"model.layers.9.mlp.up_proj.weight": "model-00004-of-00013.safetensors",
|
| 442 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00004-of-00013.safetensors",
|
| 443 |
+
"model.layers.9.self_attn.k_norm.weight": "model-00004-of-00013.safetensors",
|
| 444 |
+
"model.layers.9.self_attn.k_proj.weight": "model-00004-of-00013.safetensors",
|
| 445 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00004-of-00013.safetensors",
|
| 446 |
+
"model.layers.9.self_attn.q_norm.weight": "model-00004-of-00013.safetensors",
|
| 447 |
+
"model.layers.9.self_attn.q_proj.weight": "model-00004-of-00013.safetensors",
|
| 448 |
+
"model.layers.9.self_attn.v_proj.weight": "model-00004-of-00013.safetensors",
|
| 449 |
+
"model.norm.weight": "model-00012-of-00013.safetensors"
|
| 450 |
+
}
|
| 451 |
+
}
|
optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b5fb5c6b773f4f8414a9f8d4f64f1059bab9c78cb9ecf1ff7c6ecdf2722964ce
|
| 3 |
+
size 118146846556
|
rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:95d744506ed8242dbe82c0f3357716f73248e5153ff68604326958faa28d9296
|
| 3 |
+
size 14645
|
scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:87bd68b4f78560921b755510e39aca8eb82d75911d689fb3466b01e5eb2040bc
|
| 3 |
+
size 1465
|
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": "<|endoftext|>",
|
| 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:aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
|
| 3 |
+
size 11422654
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,239 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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 |
+
"151665": {
|
| 182 |
+
"content": "<tool_response>",
|
| 183 |
+
"lstrip": false,
|
| 184 |
+
"normalized": false,
|
| 185 |
+
"rstrip": false,
|
| 186 |
+
"single_word": false,
|
| 187 |
+
"special": false
|
| 188 |
+
},
|
| 189 |
+
"151666": {
|
| 190 |
+
"content": "</tool_response>",
|
| 191 |
+
"lstrip": false,
|
| 192 |
+
"normalized": false,
|
| 193 |
+
"rstrip": false,
|
| 194 |
+
"single_word": false,
|
| 195 |
+
"special": false
|
| 196 |
+
},
|
| 197 |
+
"151667": {
|
| 198 |
+
"content": "<think>",
|
| 199 |
+
"lstrip": false,
|
| 200 |
+
"normalized": false,
|
| 201 |
+
"rstrip": false,
|
| 202 |
+
"single_word": false,
|
| 203 |
+
"special": false
|
| 204 |
+
},
|
| 205 |
+
"151668": {
|
| 206 |
+
"content": "</think>",
|
| 207 |
+
"lstrip": false,
|
| 208 |
+
"normalized": false,
|
| 209 |
+
"rstrip": false,
|
| 210 |
+
"single_word": false,
|
| 211 |
+
"special": false
|
| 212 |
+
}
|
| 213 |
+
},
|
| 214 |
+
"additional_special_tokens": [
|
| 215 |
+
"<|im_start|>",
|
| 216 |
+
"<|im_end|>",
|
| 217 |
+
"<|object_ref_start|>",
|
| 218 |
+
"<|object_ref_end|>",
|
| 219 |
+
"<|box_start|>",
|
| 220 |
+
"<|box_end|>",
|
| 221 |
+
"<|quad_start|>",
|
| 222 |
+
"<|quad_end|>",
|
| 223 |
+
"<|vision_start|>",
|
| 224 |
+
"<|vision_end|>",
|
| 225 |
+
"<|vision_pad|>",
|
| 226 |
+
"<|image_pad|>",
|
| 227 |
+
"<|video_pad|>"
|
| 228 |
+
],
|
| 229 |
+
"bos_token": null,
|
| 230 |
+
"clean_up_tokenization_spaces": false,
|
| 231 |
+
"eos_token": "<|endoftext|>",
|
| 232 |
+
"errors": "replace",
|
| 233 |
+
"extra_special_tokens": {},
|
| 234 |
+
"model_max_length": 131072,
|
| 235 |
+
"pad_token": "<|endoftext|>",
|
| 236 |
+
"split_special_tokens": false,
|
| 237 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 238 |
+
"unk_token": null
|
| 239 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,1370 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 2.0,
|
| 6 |
+
"eval_steps": 10,
|
| 7 |
+
"global_step": 134,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.0149812734082397,
|
| 14 |
+
"grad_norm": 6.645484924316406,
|
| 15 |
+
"learning_rate": 1e-05,
|
| 16 |
+
"loss": 1.6793,
|
| 17 |
+
"mean_token_accuracy": 0.6077414005994797,
|
| 18 |
+
"num_tokens": 7520.0,
|
| 19 |
+
"step": 1
|
| 20 |
+
},
|
| 21 |
+
{
|
| 22 |
+
"epoch": 0.0299625468164794,
|
| 23 |
+
"grad_norm": 5.208061218261719,
|
| 24 |
+
"learning_rate": 9.96268656716418e-06,
|
| 25 |
+
"loss": 1.2004,
|
| 26 |
+
"mean_token_accuracy": 0.7127931267023087,
|
| 27 |
+
"num_tokens": 14631.0,
|
| 28 |
+
"step": 2
|
| 29 |
+
},
|
| 30 |
+
{
|
| 31 |
+
"epoch": 0.0449438202247191,
|
| 32 |
+
"grad_norm": 4.237852573394775,
|
| 33 |
+
"learning_rate": 9.925373134328359e-06,
|
| 34 |
+
"loss": 1.3345,
|
| 35 |
+
"mean_token_accuracy": 0.6681558042764664,
|
| 36 |
+
"num_tokens": 21698.0,
|
| 37 |
+
"step": 3
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.0599250936329588,
|
| 41 |
+
"grad_norm": 3.2547247409820557,
|
| 42 |
+
"learning_rate": 9.888059701492538e-06,
|
| 43 |
+
"loss": 1.0936,
|
| 44 |
+
"mean_token_accuracy": 0.7124579399824142,
|
| 45 |
+
"num_tokens": 29763.0,
|
| 46 |
+
"step": 4
|
| 47 |
+
},
|
| 48 |
+
{
|
| 49 |
+
"epoch": 0.0749063670411985,
|
| 50 |
+
"grad_norm": 3.279022693634033,
|
| 51 |
+
"learning_rate": 9.850746268656717e-06,
|
| 52 |
+
"loss": 1.1485,
|
| 53 |
+
"mean_token_accuracy": 0.6985869109630585,
|
| 54 |
+
"num_tokens": 36572.0,
|
| 55 |
+
"step": 5
|
| 56 |
+
},
|
| 57 |
+
{
|
| 58 |
+
"epoch": 0.0898876404494382,
|
| 59 |
+
"grad_norm": 3.9445199966430664,
|
| 60 |
+
"learning_rate": 9.813432835820897e-06,
|
| 61 |
+
"loss": 1.2735,
|
| 62 |
+
"mean_token_accuracy": 0.6686816662549973,
|
| 63 |
+
"num_tokens": 42969.0,
|
| 64 |
+
"step": 6
|
| 65 |
+
},
|
| 66 |
+
{
|
| 67 |
+
"epoch": 0.10486891385767791,
|
| 68 |
+
"grad_norm": 3.1979117393493652,
|
| 69 |
+
"learning_rate": 9.776119402985076e-06,
|
| 70 |
+
"loss": 1.1807,
|
| 71 |
+
"mean_token_accuracy": 0.6792618632316589,
|
| 72 |
+
"num_tokens": 49628.0,
|
| 73 |
+
"step": 7
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.1198501872659176,
|
| 77 |
+
"grad_norm": 2.979384183883667,
|
| 78 |
+
"learning_rate": 9.738805970149255e-06,
|
| 79 |
+
"loss": 1.1305,
|
| 80 |
+
"mean_token_accuracy": 0.6916055679321289,
|
| 81 |
+
"num_tokens": 57634.0,
|
| 82 |
+
"step": 8
|
| 83 |
+
},
|
| 84 |
+
{
|
| 85 |
+
"epoch": 0.1348314606741573,
|
| 86 |
+
"grad_norm": 4.175307750701904,
|
| 87 |
+
"learning_rate": 9.701492537313434e-06,
|
| 88 |
+
"loss": 1.1587,
|
| 89 |
+
"mean_token_accuracy": 0.6850023865699768,
|
| 90 |
+
"num_tokens": 64493.0,
|
| 91 |
+
"step": 9
|
| 92 |
+
},
|
| 93 |
+
{
|
| 94 |
+
"epoch": 0.149812734082397,
|
| 95 |
+
"grad_norm": 3.318324565887451,
|
| 96 |
+
"learning_rate": 9.664179104477612e-06,
|
| 97 |
+
"loss": 1.2182,
|
| 98 |
+
"mean_token_accuracy": 0.666175588965416,
|
| 99 |
+
"num_tokens": 71062.0,
|
| 100 |
+
"step": 10
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.149812734082397,
|
| 104 |
+
"eval_loss": 1.1548303365707397,
|
| 105 |
+
"eval_mean_token_accuracy": 0.6638695597648621,
|
| 106 |
+
"eval_num_tokens": 71062.0,
|
| 107 |
+
"eval_runtime": 43.4636,
|
| 108 |
+
"eval_samples_per_second": 0.253,
|
| 109 |
+
"eval_steps_per_second": 0.138,
|
| 110 |
+
"step": 10
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"epoch": 0.1647940074906367,
|
| 114 |
+
"grad_norm": 3.0939977169036865,
|
| 115 |
+
"learning_rate": 9.626865671641792e-06,
|
| 116 |
+
"loss": 1.0469,
|
| 117 |
+
"mean_token_accuracy": 0.7054508179426193,
|
| 118 |
+
"num_tokens": 78715.0,
|
| 119 |
+
"step": 11
|
| 120 |
+
},
|
| 121 |
+
{
|
| 122 |
+
"epoch": 0.1797752808988764,
|
| 123 |
+
"grad_norm": 3.1718571186065674,
|
| 124 |
+
"learning_rate": 9.589552238805972e-06,
|
| 125 |
+
"loss": 0.9968,
|
| 126 |
+
"mean_token_accuracy": 0.7284530699253082,
|
| 127 |
+
"num_tokens": 86684.0,
|
| 128 |
+
"step": 12
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.1947565543071161,
|
| 132 |
+
"grad_norm": 2.906012535095215,
|
| 133 |
+
"learning_rate": 9.552238805970149e-06,
|
| 134 |
+
"loss": 1.0074,
|
| 135 |
+
"mean_token_accuracy": 0.7302294373512268,
|
| 136 |
+
"num_tokens": 94023.0,
|
| 137 |
+
"step": 13
|
| 138 |
+
},
|
| 139 |
+
{
|
| 140 |
+
"epoch": 0.20973782771535582,
|
| 141 |
+
"grad_norm": 3.084291458129883,
|
| 142 |
+
"learning_rate": 9.51492537313433e-06,
|
| 143 |
+
"loss": 1.096,
|
| 144 |
+
"mean_token_accuracy": 0.6945489645004272,
|
| 145 |
+
"num_tokens": 101018.0,
|
| 146 |
+
"step": 14
|
| 147 |
+
},
|
| 148 |
+
{
|
| 149 |
+
"epoch": 0.2247191011235955,
|
| 150 |
+
"grad_norm": 3.168394088745117,
|
| 151 |
+
"learning_rate": 9.477611940298507e-06,
|
| 152 |
+
"loss": 1.1981,
|
| 153 |
+
"mean_token_accuracy": 0.6750565618276596,
|
| 154 |
+
"num_tokens": 108576.0,
|
| 155 |
+
"step": 15
|
| 156 |
+
},
|
| 157 |
+
{
|
| 158 |
+
"epoch": 0.2397003745318352,
|
| 159 |
+
"grad_norm": 3.0310959815979004,
|
| 160 |
+
"learning_rate": 9.440298507462688e-06,
|
| 161 |
+
"loss": 1.2195,
|
| 162 |
+
"mean_token_accuracy": 0.6774358600378036,
|
| 163 |
+
"num_tokens": 116231.0,
|
| 164 |
+
"step": 16
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 0.2546816479400749,
|
| 168 |
+
"grad_norm": 3.1885411739349365,
|
| 169 |
+
"learning_rate": 9.402985074626867e-06,
|
| 170 |
+
"loss": 1.1123,
|
| 171 |
+
"mean_token_accuracy": 0.6851049065589905,
|
| 172 |
+
"num_tokens": 122820.0,
|
| 173 |
+
"step": 17
|
| 174 |
+
},
|
| 175 |
+
{
|
| 176 |
+
"epoch": 0.2696629213483146,
|
| 177 |
+
"grad_norm": 2.9225549697875977,
|
| 178 |
+
"learning_rate": 9.365671641791045e-06,
|
| 179 |
+
"loss": 1.1255,
|
| 180 |
+
"mean_token_accuracy": 0.6796696484088898,
|
| 181 |
+
"num_tokens": 130744.0,
|
| 182 |
+
"step": 18
|
| 183 |
+
},
|
| 184 |
+
{
|
| 185 |
+
"epoch": 0.2846441947565543,
|
| 186 |
+
"grad_norm": 3.281294345855713,
|
| 187 |
+
"learning_rate": 9.328358208955226e-06,
|
| 188 |
+
"loss": 1.1157,
|
| 189 |
+
"mean_token_accuracy": 0.6871359646320343,
|
| 190 |
+
"num_tokens": 137441.0,
|
| 191 |
+
"step": 19
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.299625468164794,
|
| 195 |
+
"grad_norm": 3.2192912101745605,
|
| 196 |
+
"learning_rate": 9.291044776119403e-06,
|
| 197 |
+
"loss": 1.3184,
|
| 198 |
+
"mean_token_accuracy": 0.6449258774518967,
|
| 199 |
+
"num_tokens": 143961.0,
|
| 200 |
+
"step": 20
|
| 201 |
+
},
|
| 202 |
+
{
|
| 203 |
+
"epoch": 0.299625468164794,
|
| 204 |
+
"eval_loss": 1.0996215343475342,
|
| 205 |
+
"eval_mean_token_accuracy": 0.6732441584269205,
|
| 206 |
+
"eval_num_tokens": 143961.0,
|
| 207 |
+
"eval_runtime": 43.4644,
|
| 208 |
+
"eval_samples_per_second": 0.253,
|
| 209 |
+
"eval_steps_per_second": 0.138,
|
| 210 |
+
"step": 20
|
| 211 |
+
},
|
| 212 |
+
{
|
| 213 |
+
"epoch": 0.3146067415730337,
|
| 214 |
+
"grad_norm": 2.8447461128234863,
|
| 215 |
+
"learning_rate": 9.253731343283582e-06,
|
| 216 |
+
"loss": 0.8826,
|
| 217 |
+
"mean_token_accuracy": 0.7349306046962738,
|
| 218 |
+
"num_tokens": 150885.0,
|
| 219 |
+
"step": 21
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.3295880149812734,
|
| 223 |
+
"grad_norm": 2.926057815551758,
|
| 224 |
+
"learning_rate": 9.216417910447763e-06,
|
| 225 |
+
"loss": 0.958,
|
| 226 |
+
"mean_token_accuracy": 0.7313619703054428,
|
| 227 |
+
"num_tokens": 157876.0,
|
| 228 |
+
"step": 22
|
| 229 |
+
},
|
| 230 |
+
{
|
| 231 |
+
"epoch": 0.3445692883895131,
|
| 232 |
+
"grad_norm": 3.294577121734619,
|
| 233 |
+
"learning_rate": 9.17910447761194e-06,
|
| 234 |
+
"loss": 1.1452,
|
| 235 |
+
"mean_token_accuracy": 0.6808282732963562,
|
| 236 |
+
"num_tokens": 165203.0,
|
| 237 |
+
"step": 23
|
| 238 |
+
},
|
| 239 |
+
{
|
| 240 |
+
"epoch": 0.3595505617977528,
|
| 241 |
+
"grad_norm": 3.026679515838623,
|
| 242 |
+
"learning_rate": 9.14179104477612e-06,
|
| 243 |
+
"loss": 1.0559,
|
| 244 |
+
"mean_token_accuracy": 0.7152852565050125,
|
| 245 |
+
"num_tokens": 171790.0,
|
| 246 |
+
"step": 24
|
| 247 |
+
},
|
| 248 |
+
{
|
| 249 |
+
"epoch": 0.37453183520599254,
|
| 250 |
+
"grad_norm": 2.5701076984405518,
|
| 251 |
+
"learning_rate": 9.104477611940299e-06,
|
| 252 |
+
"loss": 0.8404,
|
| 253 |
+
"mean_token_accuracy": 0.755279466509819,
|
| 254 |
+
"num_tokens": 179560.0,
|
| 255 |
+
"step": 25
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 0.3895131086142322,
|
| 259 |
+
"grad_norm": 2.930906295776367,
|
| 260 |
+
"learning_rate": 9.067164179104478e-06,
|
| 261 |
+
"loss": 1.0629,
|
| 262 |
+
"mean_token_accuracy": 0.6979093104600906,
|
| 263 |
+
"num_tokens": 187129.0,
|
| 264 |
+
"step": 26
|
| 265 |
+
},
|
| 266 |
+
{
|
| 267 |
+
"epoch": 0.4044943820224719,
|
| 268 |
+
"grad_norm": 2.5857908725738525,
|
| 269 |
+
"learning_rate": 9.029850746268657e-06,
|
| 270 |
+
"loss": 0.9093,
|
| 271 |
+
"mean_token_accuracy": 0.7412554323673248,
|
| 272 |
+
"num_tokens": 194238.0,
|
| 273 |
+
"step": 27
|
| 274 |
+
},
|
| 275 |
+
{
|
| 276 |
+
"epoch": 0.41947565543071164,
|
| 277 |
+
"grad_norm": 2.9247360229492188,
|
| 278 |
+
"learning_rate": 8.992537313432836e-06,
|
| 279 |
+
"loss": 1.0202,
|
| 280 |
+
"mean_token_accuracy": 0.7101631760597229,
|
| 281 |
+
"num_tokens": 201176.0,
|
| 282 |
+
"step": 28
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 0.4344569288389513,
|
| 286 |
+
"grad_norm": 3.2126927375793457,
|
| 287 |
+
"learning_rate": 8.955223880597016e-06,
|
| 288 |
+
"loss": 1.1267,
|
| 289 |
+
"mean_token_accuracy": 0.6963846385478973,
|
| 290 |
+
"num_tokens": 207843.0,
|
| 291 |
+
"step": 29
|
| 292 |
+
},
|
| 293 |
+
{
|
| 294 |
+
"epoch": 0.449438202247191,
|
| 295 |
+
"grad_norm": 2.6786251068115234,
|
| 296 |
+
"learning_rate": 8.917910447761195e-06,
|
| 297 |
+
"loss": 0.9444,
|
| 298 |
+
"mean_token_accuracy": 0.7381020188331604,
|
| 299 |
+
"num_tokens": 215058.0,
|
| 300 |
+
"step": 30
|
| 301 |
+
},
|
| 302 |
+
{
|
| 303 |
+
"epoch": 0.449438202247191,
|
| 304 |
+
"eval_loss": 1.0702282190322876,
|
| 305 |
+
"eval_mean_token_accuracy": 0.6778951783974966,
|
| 306 |
+
"eval_num_tokens": 215058.0,
|
| 307 |
+
"eval_runtime": 43.4996,
|
| 308 |
+
"eval_samples_per_second": 0.253,
|
| 309 |
+
"eval_steps_per_second": 0.138,
|
| 310 |
+
"step": 30
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 0.46441947565543074,
|
| 314 |
+
"grad_norm": 3.422229528427124,
|
| 315 |
+
"learning_rate": 8.880597014925374e-06,
|
| 316 |
+
"loss": 1.1104,
|
| 317 |
+
"mean_token_accuracy": 0.6989456862211227,
|
| 318 |
+
"num_tokens": 220989.0,
|
| 319 |
+
"step": 31
|
| 320 |
+
},
|
| 321 |
+
{
|
| 322 |
+
"epoch": 0.4794007490636704,
|
| 323 |
+
"grad_norm": 2.9094724655151367,
|
| 324 |
+
"learning_rate": 8.843283582089553e-06,
|
| 325 |
+
"loss": 0.9101,
|
| 326 |
+
"mean_token_accuracy": 0.7397958487272263,
|
| 327 |
+
"num_tokens": 228235.0,
|
| 328 |
+
"step": 32
|
| 329 |
+
},
|
| 330 |
+
{
|
| 331 |
+
"epoch": 0.4943820224719101,
|
| 332 |
+
"grad_norm": 2.905221700668335,
|
| 333 |
+
"learning_rate": 8.805970149253732e-06,
|
| 334 |
+
"loss": 0.9017,
|
| 335 |
+
"mean_token_accuracy": 0.739780843257904,
|
| 336 |
+
"num_tokens": 235497.0,
|
| 337 |
+
"step": 33
|
| 338 |
+
},
|
| 339 |
+
{
|
| 340 |
+
"epoch": 0.5093632958801498,
|
| 341 |
+
"grad_norm": 2.7689316272735596,
|
| 342 |
+
"learning_rate": 8.768656716417911e-06,
|
| 343 |
+
"loss": 0.8806,
|
| 344 |
+
"mean_token_accuracy": 0.7460598647594452,
|
| 345 |
+
"num_tokens": 242951.0,
|
| 346 |
+
"step": 34
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 0.5243445692883895,
|
| 350 |
+
"grad_norm": 2.711458683013916,
|
| 351 |
+
"learning_rate": 8.73134328358209e-06,
|
| 352 |
+
"loss": 0.9845,
|
| 353 |
+
"mean_token_accuracy": 0.7096125036478043,
|
| 354 |
+
"num_tokens": 250554.0,
|
| 355 |
+
"step": 35
|
| 356 |
+
},
|
| 357 |
+
{
|
| 358 |
+
"epoch": 0.5393258426966292,
|
| 359 |
+
"grad_norm": 2.9433722496032715,
|
| 360 |
+
"learning_rate": 8.69402985074627e-06,
|
| 361 |
+
"loss": 0.9512,
|
| 362 |
+
"mean_token_accuracy": 0.7236437946557999,
|
| 363 |
+
"num_tokens": 258167.0,
|
| 364 |
+
"step": 36
|
| 365 |
+
},
|
| 366 |
+
{
|
| 367 |
+
"epoch": 0.5543071161048689,
|
| 368 |
+
"grad_norm": 3.174933910369873,
|
| 369 |
+
"learning_rate": 8.656716417910447e-06,
|
| 370 |
+
"loss": 1.075,
|
| 371 |
+
"mean_token_accuracy": 0.6945899575948715,
|
| 372 |
+
"num_tokens": 265000.0,
|
| 373 |
+
"step": 37
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 0.5692883895131086,
|
| 377 |
+
"grad_norm": 2.713667392730713,
|
| 378 |
+
"learning_rate": 8.619402985074628e-06,
|
| 379 |
+
"loss": 0.8271,
|
| 380 |
+
"mean_token_accuracy": 0.7603205889463425,
|
| 381 |
+
"num_tokens": 272757.0,
|
| 382 |
+
"step": 38
|
| 383 |
+
},
|
| 384 |
+
{
|
| 385 |
+
"epoch": 0.5842696629213483,
|
| 386 |
+
"grad_norm": 2.6623470783233643,
|
| 387 |
+
"learning_rate": 8.582089552238807e-06,
|
| 388 |
+
"loss": 0.8481,
|
| 389 |
+
"mean_token_accuracy": 0.7493215799331665,
|
| 390 |
+
"num_tokens": 280232.0,
|
| 391 |
+
"step": 39
|
| 392 |
+
},
|
| 393 |
+
{
|
| 394 |
+
"epoch": 0.599250936329588,
|
| 395 |
+
"grad_norm": 2.6669371128082275,
|
| 396 |
+
"learning_rate": 8.544776119402986e-06,
|
| 397 |
+
"loss": 1.0571,
|
| 398 |
+
"mean_token_accuracy": 0.6984888315200806,
|
| 399 |
+
"num_tokens": 287844.0,
|
| 400 |
+
"step": 40
|
| 401 |
+
},
|
| 402 |
+
{
|
| 403 |
+
"epoch": 0.599250936329588,
|
| 404 |
+
"eval_loss": 1.0412267446517944,
|
| 405 |
+
"eval_mean_token_accuracy": 0.6823226809501648,
|
| 406 |
+
"eval_num_tokens": 287844.0,
|
| 407 |
+
"eval_runtime": 43.4294,
|
| 408 |
+
"eval_samples_per_second": 0.253,
|
| 409 |
+
"eval_steps_per_second": 0.138,
|
| 410 |
+
"step": 40
|
| 411 |
+
},
|
| 412 |
+
{
|
| 413 |
+
"epoch": 0.6142322097378277,
|
| 414 |
+
"grad_norm": 2.81078839302063,
|
| 415 |
+
"learning_rate": 8.507462686567165e-06,
|
| 416 |
+
"loss": 0.8895,
|
| 417 |
+
"mean_token_accuracy": 0.7473254799842834,
|
| 418 |
+
"num_tokens": 294955.0,
|
| 419 |
+
"step": 41
|
| 420 |
+
},
|
| 421 |
+
{
|
| 422 |
+
"epoch": 0.6292134831460674,
|
| 423 |
+
"grad_norm": 2.718947649002075,
|
| 424 |
+
"learning_rate": 8.470149253731343e-06,
|
| 425 |
+
"loss": 0.9208,
|
| 426 |
+
"mean_token_accuracy": 0.7264387309551239,
|
| 427 |
+
"num_tokens": 302360.0,
|
| 428 |
+
"step": 42
|
| 429 |
+
},
|
| 430 |
+
{
|
| 431 |
+
"epoch": 0.6441947565543071,
|
| 432 |
+
"grad_norm": 2.797668933868408,
|
| 433 |
+
"learning_rate": 8.432835820895524e-06,
|
| 434 |
+
"loss": 1.0173,
|
| 435 |
+
"mean_token_accuracy": 0.7081942111253738,
|
| 436 |
+
"num_tokens": 309893.0,
|
| 437 |
+
"step": 43
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 0.6591760299625468,
|
| 441 |
+
"grad_norm": 3.0845787525177,
|
| 442 |
+
"learning_rate": 8.395522388059703e-06,
|
| 443 |
+
"loss": 1.0575,
|
| 444 |
+
"mean_token_accuracy": 0.7010719627141953,
|
| 445 |
+
"num_tokens": 316759.0,
|
| 446 |
+
"step": 44
|
| 447 |
+
},
|
| 448 |
+
{
|
| 449 |
+
"epoch": 0.6741573033707865,
|
| 450 |
+
"grad_norm": 2.764462947845459,
|
| 451 |
+
"learning_rate": 8.35820895522388e-06,
|
| 452 |
+
"loss": 1.1272,
|
| 453 |
+
"mean_token_accuracy": 0.6816393285989761,
|
| 454 |
+
"num_tokens": 324600.0,
|
| 455 |
+
"step": 45
|
| 456 |
+
},
|
| 457 |
+
{
|
| 458 |
+
"epoch": 0.6891385767790262,
|
| 459 |
+
"grad_norm": 2.4682984352111816,
|
| 460 |
+
"learning_rate": 8.320895522388061e-06,
|
| 461 |
+
"loss": 0.797,
|
| 462 |
+
"mean_token_accuracy": 0.7550250142812729,
|
| 463 |
+
"num_tokens": 331644.0,
|
| 464 |
+
"step": 46
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 0.704119850187266,
|
| 468 |
+
"grad_norm": 2.796246290206909,
|
| 469 |
+
"learning_rate": 8.283582089552239e-06,
|
| 470 |
+
"loss": 1.0701,
|
| 471 |
+
"mean_token_accuracy": 0.6996825039386749,
|
| 472 |
+
"num_tokens": 338637.0,
|
| 473 |
+
"step": 47
|
| 474 |
+
},
|
| 475 |
+
{
|
| 476 |
+
"epoch": 0.7191011235955056,
|
| 477 |
+
"grad_norm": 2.880173921585083,
|
| 478 |
+
"learning_rate": 8.246268656716418e-06,
|
| 479 |
+
"loss": 1.1005,
|
| 480 |
+
"mean_token_accuracy": 0.6946816593408585,
|
| 481 |
+
"num_tokens": 345963.0,
|
| 482 |
+
"step": 48
|
| 483 |
+
},
|
| 484 |
+
{
|
| 485 |
+
"epoch": 0.7340823970037453,
|
| 486 |
+
"grad_norm": 2.7749922275543213,
|
| 487 |
+
"learning_rate": 8.208955223880599e-06,
|
| 488 |
+
"loss": 0.9123,
|
| 489 |
+
"mean_token_accuracy": 0.7341801673173904,
|
| 490 |
+
"num_tokens": 353032.0,
|
| 491 |
+
"step": 49
|
| 492 |
+
},
|
| 493 |
+
{
|
| 494 |
+
"epoch": 0.7490636704119851,
|
| 495 |
+
"grad_norm": 2.716906785964966,
|
| 496 |
+
"learning_rate": 8.171641791044776e-06,
|
| 497 |
+
"loss": 0.9649,
|
| 498 |
+
"mean_token_accuracy": 0.7190811187028885,
|
| 499 |
+
"num_tokens": 360374.0,
|
| 500 |
+
"step": 50
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 0.7490636704119851,
|
| 504 |
+
"eval_loss": 1.0224930047988892,
|
| 505 |
+
"eval_mean_token_accuracy": 0.6871222953001658,
|
| 506 |
+
"eval_num_tokens": 360374.0,
|
| 507 |
+
"eval_runtime": 43.4776,
|
| 508 |
+
"eval_samples_per_second": 0.253,
|
| 509 |
+
"eval_steps_per_second": 0.138,
|
| 510 |
+
"step": 50
|
| 511 |
+
},
|
| 512 |
+
{
|
| 513 |
+
"epoch": 0.7640449438202247,
|
| 514 |
+
"grad_norm": 2.576030731201172,
|
| 515 |
+
"learning_rate": 8.134328358208955e-06,
|
| 516 |
+
"loss": 0.9832,
|
| 517 |
+
"mean_token_accuracy": 0.7258175909519196,
|
| 518 |
+
"num_tokens": 367529.0,
|
| 519 |
+
"step": 51
|
| 520 |
+
},
|
| 521 |
+
{
|
| 522 |
+
"epoch": 0.7790262172284644,
|
| 523 |
+
"grad_norm": 2.765681743621826,
|
| 524 |
+
"learning_rate": 8.097014925373135e-06,
|
| 525 |
+
"loss": 0.9807,
|
| 526 |
+
"mean_token_accuracy": 0.7210909426212311,
|
| 527 |
+
"num_tokens": 374472.0,
|
| 528 |
+
"step": 52
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"epoch": 0.7940074906367042,
|
| 532 |
+
"grad_norm": 2.5107247829437256,
|
| 533 |
+
"learning_rate": 8.059701492537314e-06,
|
| 534 |
+
"loss": 0.86,
|
| 535 |
+
"mean_token_accuracy": 0.7453574240207672,
|
| 536 |
+
"num_tokens": 382443.0,
|
| 537 |
+
"step": 53
|
| 538 |
+
},
|
| 539 |
+
{
|
| 540 |
+
"epoch": 0.8089887640449438,
|
| 541 |
+
"grad_norm": 2.511554479598999,
|
| 542 |
+
"learning_rate": 8.022388059701493e-06,
|
| 543 |
+
"loss": 0.9156,
|
| 544 |
+
"mean_token_accuracy": 0.7413896918296814,
|
| 545 |
+
"num_tokens": 389998.0,
|
| 546 |
+
"step": 54
|
| 547 |
+
},
|
| 548 |
+
{
|
| 549 |
+
"epoch": 0.8239700374531835,
|
| 550 |
+
"grad_norm": 2.9105887413024902,
|
| 551 |
+
"learning_rate": 7.985074626865672e-06,
|
| 552 |
+
"loss": 0.8634,
|
| 553 |
+
"mean_token_accuracy": 0.7419312596321106,
|
| 554 |
+
"num_tokens": 396698.0,
|
| 555 |
+
"step": 55
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 0.8389513108614233,
|
| 559 |
+
"grad_norm": 2.4456405639648438,
|
| 560 |
+
"learning_rate": 7.947761194029851e-06,
|
| 561 |
+
"loss": 0.8547,
|
| 562 |
+
"mean_token_accuracy": 0.7464274764060974,
|
| 563 |
+
"num_tokens": 403984.0,
|
| 564 |
+
"step": 56
|
| 565 |
+
},
|
| 566 |
+
{
|
| 567 |
+
"epoch": 0.8539325842696629,
|
| 568 |
+
"grad_norm": 3.117522716522217,
|
| 569 |
+
"learning_rate": 7.91044776119403e-06,
|
| 570 |
+
"loss": 1.0601,
|
| 571 |
+
"mean_token_accuracy": 0.6881874799728394,
|
| 572 |
+
"num_tokens": 411433.0,
|
| 573 |
+
"step": 57
|
| 574 |
+
},
|
| 575 |
+
{
|
| 576 |
+
"epoch": 0.8689138576779026,
|
| 577 |
+
"grad_norm": 2.4795329570770264,
|
| 578 |
+
"learning_rate": 7.87313432835821e-06,
|
| 579 |
+
"loss": 0.8548,
|
| 580 |
+
"mean_token_accuracy": 0.7407911419868469,
|
| 581 |
+
"num_tokens": 418859.0,
|
| 582 |
+
"step": 58
|
| 583 |
+
},
|
| 584 |
+
{
|
| 585 |
+
"epoch": 0.8838951310861424,
|
| 586 |
+
"grad_norm": 3.0380287170410156,
|
| 587 |
+
"learning_rate": 7.835820895522389e-06,
|
| 588 |
+
"loss": 1.0231,
|
| 589 |
+
"mean_token_accuracy": 0.7012683600187302,
|
| 590 |
+
"num_tokens": 425440.0,
|
| 591 |
+
"step": 59
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 0.898876404494382,
|
| 595 |
+
"grad_norm": 2.596809148788452,
|
| 596 |
+
"learning_rate": 7.798507462686568e-06,
|
| 597 |
+
"loss": 0.9533,
|
| 598 |
+
"mean_token_accuracy": 0.7234554290771484,
|
| 599 |
+
"num_tokens": 432346.0,
|
| 600 |
+
"step": 60
|
| 601 |
+
},
|
| 602 |
+
{
|
| 603 |
+
"epoch": 0.898876404494382,
|
| 604 |
+
"eval_loss": 1.0079383850097656,
|
| 605 |
+
"eval_mean_token_accuracy": 0.6899242699146271,
|
| 606 |
+
"eval_num_tokens": 432346.0,
|
| 607 |
+
"eval_runtime": 43.4508,
|
| 608 |
+
"eval_samples_per_second": 0.253,
|
| 609 |
+
"eval_steps_per_second": 0.138,
|
| 610 |
+
"step": 60
|
| 611 |
+
},
|
| 612 |
+
{
|
| 613 |
+
"epoch": 0.9138576779026217,
|
| 614 |
+
"grad_norm": 2.8112661838531494,
|
| 615 |
+
"learning_rate": 7.761194029850747e-06,
|
| 616 |
+
"loss": 0.9786,
|
| 617 |
+
"mean_token_accuracy": 0.7173863798379898,
|
| 618 |
+
"num_tokens": 440164.0,
|
| 619 |
+
"step": 61
|
| 620 |
+
},
|
| 621 |
+
{
|
| 622 |
+
"epoch": 0.9288389513108615,
|
| 623 |
+
"grad_norm": 3.0009336471557617,
|
| 624 |
+
"learning_rate": 7.723880597014926e-06,
|
| 625 |
+
"loss": 1.1157,
|
| 626 |
+
"mean_token_accuracy": 0.6876846700906754,
|
| 627 |
+
"num_tokens": 446900.0,
|
| 628 |
+
"step": 62
|
| 629 |
+
},
|
| 630 |
+
{
|
| 631 |
+
"epoch": 0.9438202247191011,
|
| 632 |
+
"grad_norm": 2.882216215133667,
|
| 633 |
+
"learning_rate": 7.686567164179105e-06,
|
| 634 |
+
"loss": 0.9868,
|
| 635 |
+
"mean_token_accuracy": 0.7076680213212967,
|
| 636 |
+
"num_tokens": 454043.0,
|
| 637 |
+
"step": 63
|
| 638 |
+
},
|
| 639 |
+
{
|
| 640 |
+
"epoch": 0.9588014981273408,
|
| 641 |
+
"grad_norm": 2.567683219909668,
|
| 642 |
+
"learning_rate": 7.649253731343284e-06,
|
| 643 |
+
"loss": 0.8569,
|
| 644 |
+
"mean_token_accuracy": 0.7410573810338974,
|
| 645 |
+
"num_tokens": 461616.0,
|
| 646 |
+
"step": 64
|
| 647 |
+
},
|
| 648 |
+
{
|
| 649 |
+
"epoch": 0.9737827715355806,
|
| 650 |
+
"grad_norm": 2.8576714992523193,
|
| 651 |
+
"learning_rate": 7.611940298507463e-06,
|
| 652 |
+
"loss": 1.0125,
|
| 653 |
+
"mean_token_accuracy": 0.7113172262907028,
|
| 654 |
+
"num_tokens": 469118.0,
|
| 655 |
+
"step": 65
|
| 656 |
+
},
|
| 657 |
+
{
|
| 658 |
+
"epoch": 0.9887640449438202,
|
| 659 |
+
"grad_norm": 2.429183006286621,
|
| 660 |
+
"learning_rate": 7.574626865671643e-06,
|
| 661 |
+
"loss": 0.8176,
|
| 662 |
+
"mean_token_accuracy": 0.7573917061090469,
|
| 663 |
+
"num_tokens": 476582.0,
|
| 664 |
+
"step": 66
|
| 665 |
+
},
|
| 666 |
+
{
|
| 667 |
+
"epoch": 1.0,
|
| 668 |
+
"grad_norm": 3.128382444381714,
|
| 669 |
+
"learning_rate": 7.537313432835821e-06,
|
| 670 |
+
"loss": 0.8825,
|
| 671 |
+
"mean_token_accuracy": 0.7674418290456136,
|
| 672 |
+
"num_tokens": 480934.0,
|
| 673 |
+
"step": 67
|
| 674 |
+
},
|
| 675 |
+
{
|
| 676 |
+
"epoch": 1.0149812734082397,
|
| 677 |
+
"grad_norm": 2.555082321166992,
|
| 678 |
+
"learning_rate": 7.500000000000001e-06,
|
| 679 |
+
"loss": 0.6467,
|
| 680 |
+
"mean_token_accuracy": 0.7994843870401382,
|
| 681 |
+
"num_tokens": 488505.0,
|
| 682 |
+
"step": 68
|
| 683 |
+
},
|
| 684 |
+
{
|
| 685 |
+
"epoch": 1.0299625468164795,
|
| 686 |
+
"grad_norm": 2.6702513694763184,
|
| 687 |
+
"learning_rate": 7.46268656716418e-06,
|
| 688 |
+
"loss": 0.6819,
|
| 689 |
+
"mean_token_accuracy": 0.8006551265716553,
|
| 690 |
+
"num_tokens": 495367.0,
|
| 691 |
+
"step": 69
|
| 692 |
+
},
|
| 693 |
+
{
|
| 694 |
+
"epoch": 1.0449438202247192,
|
| 695 |
+
"grad_norm": 2.4463446140289307,
|
| 696 |
+
"learning_rate": 7.4253731343283585e-06,
|
| 697 |
+
"loss": 0.6766,
|
| 698 |
+
"mean_token_accuracy": 0.7914196252822876,
|
| 699 |
+
"num_tokens": 502801.0,
|
| 700 |
+
"step": 70
|
| 701 |
+
},
|
| 702 |
+
{
|
| 703 |
+
"epoch": 1.0449438202247192,
|
| 704 |
+
"eval_loss": 1.000529408454895,
|
| 705 |
+
"eval_mean_token_accuracy": 0.6923578282197317,
|
| 706 |
+
"eval_num_tokens": 502801.0,
|
| 707 |
+
"eval_runtime": 43.4456,
|
| 708 |
+
"eval_samples_per_second": 0.253,
|
| 709 |
+
"eval_steps_per_second": 0.138,
|
| 710 |
+
"step": 70
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 1.0599250936329587,
|
| 714 |
+
"grad_norm": 2.083836793899536,
|
| 715 |
+
"learning_rate": 7.3880597014925385e-06,
|
| 716 |
+
"loss": 0.5576,
|
| 717 |
+
"mean_token_accuracy": 0.830506294965744,
|
| 718 |
+
"num_tokens": 509852.0,
|
| 719 |
+
"step": 71
|
| 720 |
+
},
|
| 721 |
+
{
|
| 722 |
+
"epoch": 1.0749063670411985,
|
| 723 |
+
"grad_norm": 2.3526670932769775,
|
| 724 |
+
"learning_rate": 7.350746268656717e-06,
|
| 725 |
+
"loss": 0.6305,
|
| 726 |
+
"mean_token_accuracy": 0.8095849454402924,
|
| 727 |
+
"num_tokens": 517474.0,
|
| 728 |
+
"step": 72
|
| 729 |
+
},
|
| 730 |
+
{
|
| 731 |
+
"epoch": 1.0898876404494382,
|
| 732 |
+
"grad_norm": 2.429677724838257,
|
| 733 |
+
"learning_rate": 7.313432835820896e-06,
|
| 734 |
+
"loss": 0.6376,
|
| 735 |
+
"mean_token_accuracy": 0.8020687401294708,
|
| 736 |
+
"num_tokens": 524332.0,
|
| 737 |
+
"step": 73
|
| 738 |
+
},
|
| 739 |
+
{
|
| 740 |
+
"epoch": 1.104868913857678,
|
| 741 |
+
"grad_norm": 2.212477445602417,
|
| 742 |
+
"learning_rate": 7.276119402985076e-06,
|
| 743 |
+
"loss": 0.5534,
|
| 744 |
+
"mean_token_accuracy": 0.8321953117847443,
|
| 745 |
+
"num_tokens": 531739.0,
|
| 746 |
+
"step": 74
|
| 747 |
+
},
|
| 748 |
+
{
|
| 749 |
+
"epoch": 1.1198501872659177,
|
| 750 |
+
"grad_norm": 2.5952513217926025,
|
| 751 |
+
"learning_rate": 7.238805970149254e-06,
|
| 752 |
+
"loss": 0.6081,
|
| 753 |
+
"mean_token_accuracy": 0.8088606148958206,
|
| 754 |
+
"num_tokens": 538384.0,
|
| 755 |
+
"step": 75
|
| 756 |
+
},
|
| 757 |
+
{
|
| 758 |
+
"epoch": 1.1348314606741572,
|
| 759 |
+
"grad_norm": 2.4394075870513916,
|
| 760 |
+
"learning_rate": 7.2014925373134335e-06,
|
| 761 |
+
"loss": 0.5225,
|
| 762 |
+
"mean_token_accuracy": 0.8409454524517059,
|
| 763 |
+
"num_tokens": 546061.0,
|
| 764 |
+
"step": 76
|
| 765 |
+
},
|
| 766 |
+
{
|
| 767 |
+
"epoch": 1.149812734082397,
|
| 768 |
+
"grad_norm": 2.3486266136169434,
|
| 769 |
+
"learning_rate": 7.164179104477612e-06,
|
| 770 |
+
"loss": 0.6461,
|
| 771 |
+
"mean_token_accuracy": 0.8038217276334763,
|
| 772 |
+
"num_tokens": 553550.0,
|
| 773 |
+
"step": 77
|
| 774 |
+
},
|
| 775 |
+
{
|
| 776 |
+
"epoch": 1.1647940074906367,
|
| 777 |
+
"grad_norm": 2.2467193603515625,
|
| 778 |
+
"learning_rate": 7.126865671641792e-06,
|
| 779 |
+
"loss": 0.5553,
|
| 780 |
+
"mean_token_accuracy": 0.8217796683311462,
|
| 781 |
+
"num_tokens": 560708.0,
|
| 782 |
+
"step": 78
|
| 783 |
+
},
|
| 784 |
+
{
|
| 785 |
+
"epoch": 1.1797752808988764,
|
| 786 |
+
"grad_norm": 2.407600164413452,
|
| 787 |
+
"learning_rate": 7.089552238805971e-06,
|
| 788 |
+
"loss": 0.5811,
|
| 789 |
+
"mean_token_accuracy": 0.8181268125772476,
|
| 790 |
+
"num_tokens": 567407.0,
|
| 791 |
+
"step": 79
|
| 792 |
+
},
|
| 793 |
+
{
|
| 794 |
+
"epoch": 1.1947565543071161,
|
| 795 |
+
"grad_norm": 2.376070737838745,
|
| 796 |
+
"learning_rate": 7.052238805970149e-06,
|
| 797 |
+
"loss": 0.5261,
|
| 798 |
+
"mean_token_accuracy": 0.8382349163293839,
|
| 799 |
+
"num_tokens": 574718.0,
|
| 800 |
+
"step": 80
|
| 801 |
+
},
|
| 802 |
+
{
|
| 803 |
+
"epoch": 1.1947565543071161,
|
| 804 |
+
"eval_loss": 1.0289438962936401,
|
| 805 |
+
"eval_mean_token_accuracy": 0.6871420840422312,
|
| 806 |
+
"eval_num_tokens": 574718.0,
|
| 807 |
+
"eval_runtime": 43.4624,
|
| 808 |
+
"eval_samples_per_second": 0.253,
|
| 809 |
+
"eval_steps_per_second": 0.138,
|
| 810 |
+
"step": 80
|
| 811 |
+
},
|
| 812 |
+
{
|
| 813 |
+
"epoch": 1.2097378277153559,
|
| 814 |
+
"grad_norm": 2.738510847091675,
|
| 815 |
+
"learning_rate": 7.014925373134329e-06,
|
| 816 |
+
"loss": 0.6841,
|
| 817 |
+
"mean_token_accuracy": 0.7840229570865631,
|
| 818 |
+
"num_tokens": 581276.0,
|
| 819 |
+
"step": 81
|
| 820 |
+
},
|
| 821 |
+
{
|
| 822 |
+
"epoch": 1.2247191011235956,
|
| 823 |
+
"grad_norm": 2.3343069553375244,
|
| 824 |
+
"learning_rate": 6.9776119402985076e-06,
|
| 825 |
+
"loss": 0.5493,
|
| 826 |
+
"mean_token_accuracy": 0.8304655849933624,
|
| 827 |
+
"num_tokens": 588904.0,
|
| 828 |
+
"step": 82
|
| 829 |
+
},
|
| 830 |
+
{
|
| 831 |
+
"epoch": 1.2397003745318351,
|
| 832 |
+
"grad_norm": 2.639784336090088,
|
| 833 |
+
"learning_rate": 6.9402985074626876e-06,
|
| 834 |
+
"loss": 0.6857,
|
| 835 |
+
"mean_token_accuracy": 0.7973657697439194,
|
| 836 |
+
"num_tokens": 595858.0,
|
| 837 |
+
"step": 83
|
| 838 |
+
},
|
| 839 |
+
{
|
| 840 |
+
"epoch": 1.2546816479400749,
|
| 841 |
+
"grad_norm": 2.3760740756988525,
|
| 842 |
+
"learning_rate": 6.902985074626867e-06,
|
| 843 |
+
"loss": 0.5136,
|
| 844 |
+
"mean_token_accuracy": 0.8422924876213074,
|
| 845 |
+
"num_tokens": 602581.0,
|
| 846 |
+
"step": 84
|
| 847 |
+
},
|
| 848 |
+
{
|
| 849 |
+
"epoch": 1.2696629213483146,
|
| 850 |
+
"grad_norm": 2.2667794227600098,
|
| 851 |
+
"learning_rate": 6.865671641791045e-06,
|
| 852 |
+
"loss": 0.5062,
|
| 853 |
+
"mean_token_accuracy": 0.83640918135643,
|
| 854 |
+
"num_tokens": 609750.0,
|
| 855 |
+
"step": 85
|
| 856 |
+
},
|
| 857 |
+
{
|
| 858 |
+
"epoch": 1.2846441947565543,
|
| 859 |
+
"grad_norm": 2.4145731925964355,
|
| 860 |
+
"learning_rate": 6.828358208955225e-06,
|
| 861 |
+
"loss": 0.653,
|
| 862 |
+
"mean_token_accuracy": 0.7934205830097198,
|
| 863 |
+
"num_tokens": 617577.0,
|
| 864 |
+
"step": 86
|
| 865 |
+
},
|
| 866 |
+
{
|
| 867 |
+
"epoch": 1.299625468164794,
|
| 868 |
+
"grad_norm": 2.5289885997772217,
|
| 869 |
+
"learning_rate": 6.791044776119403e-06,
|
| 870 |
+
"loss": 0.5714,
|
| 871 |
+
"mean_token_accuracy": 0.8144723027944565,
|
| 872 |
+
"num_tokens": 623717.0,
|
| 873 |
+
"step": 87
|
| 874 |
+
},
|
| 875 |
+
{
|
| 876 |
+
"epoch": 1.3146067415730336,
|
| 877 |
+
"grad_norm": 2.1667280197143555,
|
| 878 |
+
"learning_rate": 6.7537313432835825e-06,
|
| 879 |
+
"loss": 0.5032,
|
| 880 |
+
"mean_token_accuracy": 0.8375886827707291,
|
| 881 |
+
"num_tokens": 631372.0,
|
| 882 |
+
"step": 88
|
| 883 |
+
},
|
| 884 |
+
{
|
| 885 |
+
"epoch": 1.3295880149812733,
|
| 886 |
+
"grad_norm": 2.4753546714782715,
|
| 887 |
+
"learning_rate": 6.7164179104477625e-06,
|
| 888 |
+
"loss": 0.5357,
|
| 889 |
+
"mean_token_accuracy": 0.8220501989126205,
|
| 890 |
+
"num_tokens": 637531.0,
|
| 891 |
+
"step": 89
|
| 892 |
+
},
|
| 893 |
+
{
|
| 894 |
+
"epoch": 1.344569288389513,
|
| 895 |
+
"grad_norm": 2.417269706726074,
|
| 896 |
+
"learning_rate": 6.679104477611941e-06,
|
| 897 |
+
"loss": 0.5053,
|
| 898 |
+
"mean_token_accuracy": 0.8365453034639359,
|
| 899 |
+
"num_tokens": 643953.0,
|
| 900 |
+
"step": 90
|
| 901 |
+
},
|
| 902 |
+
{
|
| 903 |
+
"epoch": 1.344569288389513,
|
| 904 |
+
"eval_loss": 1.043993592262268,
|
| 905 |
+
"eval_mean_token_accuracy": 0.6838832795619965,
|
| 906 |
+
"eval_num_tokens": 643953.0,
|
| 907 |
+
"eval_runtime": 43.4519,
|
| 908 |
+
"eval_samples_per_second": 0.253,
|
| 909 |
+
"eval_steps_per_second": 0.138,
|
| 910 |
+
"step": 90
|
| 911 |
+
},
|
| 912 |
+
{
|
| 913 |
+
"epoch": 1.3595505617977528,
|
| 914 |
+
"grad_norm": 2.4452741146087646,
|
| 915 |
+
"learning_rate": 6.64179104477612e-06,
|
| 916 |
+
"loss": 0.5959,
|
| 917 |
+
"mean_token_accuracy": 0.8205520063638687,
|
| 918 |
+
"num_tokens": 650371.0,
|
| 919 |
+
"step": 91
|
| 920 |
+
},
|
| 921 |
+
{
|
| 922 |
+
"epoch": 1.3745318352059925,
|
| 923 |
+
"grad_norm": 2.4637227058410645,
|
| 924 |
+
"learning_rate": 6.604477611940298e-06,
|
| 925 |
+
"loss": 0.609,
|
| 926 |
+
"mean_token_accuracy": 0.8141357600688934,
|
| 927 |
+
"num_tokens": 657701.0,
|
| 928 |
+
"step": 92
|
| 929 |
+
},
|
| 930 |
+
{
|
| 931 |
+
"epoch": 1.3895131086142323,
|
| 932 |
+
"grad_norm": 2.5266008377075195,
|
| 933 |
+
"learning_rate": 6.567164179104478e-06,
|
| 934 |
+
"loss": 0.5932,
|
| 935 |
+
"mean_token_accuracy": 0.8143609464168549,
|
| 936 |
+
"num_tokens": 665322.0,
|
| 937 |
+
"step": 93
|
| 938 |
+
},
|
| 939 |
+
{
|
| 940 |
+
"epoch": 1.404494382022472,
|
| 941 |
+
"grad_norm": 2.3636891841888428,
|
| 942 |
+
"learning_rate": 6.5298507462686575e-06,
|
| 943 |
+
"loss": 0.6289,
|
| 944 |
+
"mean_token_accuracy": 0.8084951192140579,
|
| 945 |
+
"num_tokens": 672852.0,
|
| 946 |
+
"step": 94
|
| 947 |
+
},
|
| 948 |
+
{
|
| 949 |
+
"epoch": 1.4194756554307117,
|
| 950 |
+
"grad_norm": 2.303436756134033,
|
| 951 |
+
"learning_rate": 6.492537313432837e-06,
|
| 952 |
+
"loss": 0.4828,
|
| 953 |
+
"mean_token_accuracy": 0.8466101735830307,
|
| 954 |
+
"num_tokens": 679760.0,
|
| 955 |
+
"step": 95
|
| 956 |
+
},
|
| 957 |
+
{
|
| 958 |
+
"epoch": 1.4344569288389513,
|
| 959 |
+
"grad_norm": 2.34370493888855,
|
| 960 |
+
"learning_rate": 6.455223880597016e-06,
|
| 961 |
+
"loss": 0.5763,
|
| 962 |
+
"mean_token_accuracy": 0.8200996369123459,
|
| 963 |
+
"num_tokens": 686791.0,
|
| 964 |
+
"step": 96
|
| 965 |
+
},
|
| 966 |
+
{
|
| 967 |
+
"epoch": 1.449438202247191,
|
| 968 |
+
"grad_norm": 2.2648942470550537,
|
| 969 |
+
"learning_rate": 6.417910447761194e-06,
|
| 970 |
+
"loss": 0.4666,
|
| 971 |
+
"mean_token_accuracy": 0.8406203389167786,
|
| 972 |
+
"num_tokens": 693028.0,
|
| 973 |
+
"step": 97
|
| 974 |
+
},
|
| 975 |
+
{
|
| 976 |
+
"epoch": 1.4644194756554307,
|
| 977 |
+
"grad_norm": 2.3541007041931152,
|
| 978 |
+
"learning_rate": 6.380597014925374e-06,
|
| 979 |
+
"loss": 0.5937,
|
| 980 |
+
"mean_token_accuracy": 0.8213587552309036,
|
| 981 |
+
"num_tokens": 701220.0,
|
| 982 |
+
"step": 98
|
| 983 |
+
},
|
| 984 |
+
{
|
| 985 |
+
"epoch": 1.4794007490636705,
|
| 986 |
+
"grad_norm": 2.1910910606384277,
|
| 987 |
+
"learning_rate": 6.343283582089553e-06,
|
| 988 |
+
"loss": 0.5371,
|
| 989 |
+
"mean_token_accuracy": 0.8270279318094254,
|
| 990 |
+
"num_tokens": 709016.0,
|
| 991 |
+
"step": 99
|
| 992 |
+
},
|
| 993 |
+
{
|
| 994 |
+
"epoch": 1.49438202247191,
|
| 995 |
+
"grad_norm": 2.215508460998535,
|
| 996 |
+
"learning_rate": 6.3059701492537316e-06,
|
| 997 |
+
"loss": 0.5577,
|
| 998 |
+
"mean_token_accuracy": 0.8273791819810867,
|
| 999 |
+
"num_tokens": 716500.0,
|
| 1000 |
+
"step": 100
|
| 1001 |
+
},
|
| 1002 |
+
{
|
| 1003 |
+
"epoch": 1.49438202247191,
|
| 1004 |
+
"eval_loss": 1.0362759828567505,
|
| 1005 |
+
"eval_mean_token_accuracy": 0.6868139902750651,
|
| 1006 |
+
"eval_num_tokens": 716500.0,
|
| 1007 |
+
"eval_runtime": 43.4907,
|
| 1008 |
+
"eval_samples_per_second": 0.253,
|
| 1009 |
+
"eval_steps_per_second": 0.138,
|
| 1010 |
+
"step": 100
|
| 1011 |
+
},
|
| 1012 |
+
{
|
| 1013 |
+
"epoch": 1.5093632958801497,
|
| 1014 |
+
"grad_norm": 2.368717908859253,
|
| 1015 |
+
"learning_rate": 6.2686567164179116e-06,
|
| 1016 |
+
"loss": 0.5906,
|
| 1017 |
+
"mean_token_accuracy": 0.817937821149826,
|
| 1018 |
+
"num_tokens": 723654.0,
|
| 1019 |
+
"step": 101
|
| 1020 |
+
},
|
| 1021 |
+
{
|
| 1022 |
+
"epoch": 1.5243445692883895,
|
| 1023 |
+
"grad_norm": 2.5242090225219727,
|
| 1024 |
+
"learning_rate": 6.23134328358209e-06,
|
| 1025 |
+
"loss": 0.6044,
|
| 1026 |
+
"mean_token_accuracy": 0.8119681477546692,
|
| 1027 |
+
"num_tokens": 730772.0,
|
| 1028 |
+
"step": 102
|
| 1029 |
+
},
|
| 1030 |
+
{
|
| 1031 |
+
"epoch": 1.5393258426966292,
|
| 1032 |
+
"grad_norm": 2.181792736053467,
|
| 1033 |
+
"learning_rate": 6.194029850746269e-06,
|
| 1034 |
+
"loss": 0.5103,
|
| 1035 |
+
"mean_token_accuracy": 0.8396165817975998,
|
| 1036 |
+
"num_tokens": 737800.0,
|
| 1037 |
+
"step": 103
|
| 1038 |
+
},
|
| 1039 |
+
{
|
| 1040 |
+
"epoch": 1.554307116104869,
|
| 1041 |
+
"grad_norm": 2.560577392578125,
|
| 1042 |
+
"learning_rate": 6.156716417910447e-06,
|
| 1043 |
+
"loss": 0.6276,
|
| 1044 |
+
"mean_token_accuracy": 0.8078210204839706,
|
| 1045 |
+
"num_tokens": 744874.0,
|
| 1046 |
+
"step": 104
|
| 1047 |
+
},
|
| 1048 |
+
{
|
| 1049 |
+
"epoch": 1.5692883895131087,
|
| 1050 |
+
"grad_norm": 2.102379322052002,
|
| 1051 |
+
"learning_rate": 6.119402985074627e-06,
|
| 1052 |
+
"loss": 0.4746,
|
| 1053 |
+
"mean_token_accuracy": 0.8518716990947723,
|
| 1054 |
+
"num_tokens": 752448.0,
|
| 1055 |
+
"step": 105
|
| 1056 |
+
},
|
| 1057 |
+
{
|
| 1058 |
+
"epoch": 1.5842696629213484,
|
| 1059 |
+
"grad_norm": 2.304199695587158,
|
| 1060 |
+
"learning_rate": 6.0820895522388065e-06,
|
| 1061 |
+
"loss": 0.5656,
|
| 1062 |
+
"mean_token_accuracy": 0.8216982781887054,
|
| 1063 |
+
"num_tokens": 759899.0,
|
| 1064 |
+
"step": 106
|
| 1065 |
+
},
|
| 1066 |
+
{
|
| 1067 |
+
"epoch": 1.5992509363295881,
|
| 1068 |
+
"grad_norm": 2.216642141342163,
|
| 1069 |
+
"learning_rate": 6.044776119402986e-06,
|
| 1070 |
+
"loss": 0.5291,
|
| 1071 |
+
"mean_token_accuracy": 0.8351717591285706,
|
| 1072 |
+
"num_tokens": 768016.0,
|
| 1073 |
+
"step": 107
|
| 1074 |
+
},
|
| 1075 |
+
{
|
| 1076 |
+
"epoch": 1.6142322097378277,
|
| 1077 |
+
"grad_norm": 2.435307264328003,
|
| 1078 |
+
"learning_rate": 6.007462686567165e-06,
|
| 1079 |
+
"loss": 0.6234,
|
| 1080 |
+
"mean_token_accuracy": 0.8072042167186737,
|
| 1081 |
+
"num_tokens": 775450.0,
|
| 1082 |
+
"step": 108
|
| 1083 |
+
},
|
| 1084 |
+
{
|
| 1085 |
+
"epoch": 1.6292134831460674,
|
| 1086 |
+
"grad_norm": 2.4394967555999756,
|
| 1087 |
+
"learning_rate": 5.970149253731343e-06,
|
| 1088 |
+
"loss": 0.5309,
|
| 1089 |
+
"mean_token_accuracy": 0.8372008353471756,
|
| 1090 |
+
"num_tokens": 782761.0,
|
| 1091 |
+
"step": 109
|
| 1092 |
+
},
|
| 1093 |
+
{
|
| 1094 |
+
"epoch": 1.6441947565543071,
|
| 1095 |
+
"grad_norm": 2.545595645904541,
|
| 1096 |
+
"learning_rate": 5.932835820895523e-06,
|
| 1097 |
+
"loss": 0.6327,
|
| 1098 |
+
"mean_token_accuracy": 0.8080395758152008,
|
| 1099 |
+
"num_tokens": 789777.0,
|
| 1100 |
+
"step": 110
|
| 1101 |
+
},
|
| 1102 |
+
{
|
| 1103 |
+
"epoch": 1.6441947565543071,
|
| 1104 |
+
"eval_loss": 1.0350403785705566,
|
| 1105 |
+
"eval_mean_token_accuracy": 0.6877939999103546,
|
| 1106 |
+
"eval_num_tokens": 789777.0,
|
| 1107 |
+
"eval_runtime": 43.499,
|
| 1108 |
+
"eval_samples_per_second": 0.253,
|
| 1109 |
+
"eval_steps_per_second": 0.138,
|
| 1110 |
+
"step": 110
|
| 1111 |
+
},
|
| 1112 |
+
{
|
| 1113 |
+
"epoch": 1.6591760299625467,
|
| 1114 |
+
"grad_norm": 2.6292037963867188,
|
| 1115 |
+
"learning_rate": 5.895522388059702e-06,
|
| 1116 |
+
"loss": 0.5986,
|
| 1117 |
+
"mean_token_accuracy": 0.8076180070638657,
|
| 1118 |
+
"num_tokens": 797195.0,
|
| 1119 |
+
"step": 111
|
| 1120 |
+
},
|
| 1121 |
+
{
|
| 1122 |
+
"epoch": 1.6741573033707864,
|
| 1123 |
+
"grad_norm": 2.416217803955078,
|
| 1124 |
+
"learning_rate": 5.858208955223881e-06,
|
| 1125 |
+
"loss": 0.5786,
|
| 1126 |
+
"mean_token_accuracy": 0.819035142660141,
|
| 1127 |
+
"num_tokens": 803750.0,
|
| 1128 |
+
"step": 112
|
| 1129 |
+
},
|
| 1130 |
+
{
|
| 1131 |
+
"epoch": 1.6891385767790261,
|
| 1132 |
+
"grad_norm": 2.511836528778076,
|
| 1133 |
+
"learning_rate": 5.820895522388061e-06,
|
| 1134 |
+
"loss": 0.6348,
|
| 1135 |
+
"mean_token_accuracy": 0.8027018457651138,
|
| 1136 |
+
"num_tokens": 811335.0,
|
| 1137 |
+
"step": 113
|
| 1138 |
+
},
|
| 1139 |
+
{
|
| 1140 |
+
"epoch": 1.7041198501872659,
|
| 1141 |
+
"grad_norm": 2.4908852577209473,
|
| 1142 |
+
"learning_rate": 5.783582089552239e-06,
|
| 1143 |
+
"loss": 0.7,
|
| 1144 |
+
"mean_token_accuracy": 0.789110392332077,
|
| 1145 |
+
"num_tokens": 818745.0,
|
| 1146 |
+
"step": 114
|
| 1147 |
+
},
|
| 1148 |
+
{
|
| 1149 |
+
"epoch": 1.7191011235955056,
|
| 1150 |
+
"grad_norm": 2.6129393577575684,
|
| 1151 |
+
"learning_rate": 5.746268656716418e-06,
|
| 1152 |
+
"loss": 0.5622,
|
| 1153 |
+
"mean_token_accuracy": 0.8225392550230026,
|
| 1154 |
+
"num_tokens": 826035.0,
|
| 1155 |
+
"step": 115
|
| 1156 |
+
},
|
| 1157 |
+
{
|
| 1158 |
+
"epoch": 1.7340823970037453,
|
| 1159 |
+
"grad_norm": 2.579789638519287,
|
| 1160 |
+
"learning_rate": 5.708955223880598e-06,
|
| 1161 |
+
"loss": 0.7188,
|
| 1162 |
+
"mean_token_accuracy": 0.7761909365653992,
|
| 1163 |
+
"num_tokens": 833714.0,
|
| 1164 |
+
"step": 116
|
| 1165 |
+
},
|
| 1166 |
+
{
|
| 1167 |
+
"epoch": 1.749063670411985,
|
| 1168 |
+
"grad_norm": 2.415377616882324,
|
| 1169 |
+
"learning_rate": 5.671641791044776e-06,
|
| 1170 |
+
"loss": 0.5946,
|
| 1171 |
+
"mean_token_accuracy": 0.8112916648387909,
|
| 1172 |
+
"num_tokens": 840530.0,
|
| 1173 |
+
"step": 117
|
| 1174 |
+
},
|
| 1175 |
+
{
|
| 1176 |
+
"epoch": 1.7640449438202248,
|
| 1177 |
+
"grad_norm": 2.317101001739502,
|
| 1178 |
+
"learning_rate": 5.6343283582089556e-06,
|
| 1179 |
+
"loss": 0.5669,
|
| 1180 |
+
"mean_token_accuracy": 0.8185659945011139,
|
| 1181 |
+
"num_tokens": 847520.0,
|
| 1182 |
+
"step": 118
|
| 1183 |
+
},
|
| 1184 |
+
{
|
| 1185 |
+
"epoch": 1.7790262172284645,
|
| 1186 |
+
"grad_norm": 2.222646474838257,
|
| 1187 |
+
"learning_rate": 5.597014925373134e-06,
|
| 1188 |
+
"loss": 0.5257,
|
| 1189 |
+
"mean_token_accuracy": 0.8318661004304886,
|
| 1190 |
+
"num_tokens": 854801.0,
|
| 1191 |
+
"step": 119
|
| 1192 |
+
},
|
| 1193 |
+
{
|
| 1194 |
+
"epoch": 1.7940074906367043,
|
| 1195 |
+
"grad_norm": 2.343552589416504,
|
| 1196 |
+
"learning_rate": 5.559701492537314e-06,
|
| 1197 |
+
"loss": 0.6078,
|
| 1198 |
+
"mean_token_accuracy": 0.8209575116634369,
|
| 1199 |
+
"num_tokens": 861837.0,
|
| 1200 |
+
"step": 120
|
| 1201 |
+
},
|
| 1202 |
+
{
|
| 1203 |
+
"epoch": 1.7940074906367043,
|
| 1204 |
+
"eval_loss": 1.0262762308120728,
|
| 1205 |
+
"eval_mean_token_accuracy": 0.6882797876993815,
|
| 1206 |
+
"eval_num_tokens": 861837.0,
|
| 1207 |
+
"eval_runtime": 43.4358,
|
| 1208 |
+
"eval_samples_per_second": 0.253,
|
| 1209 |
+
"eval_steps_per_second": 0.138,
|
| 1210 |
+
"step": 120
|
| 1211 |
+
},
|
| 1212 |
+
{
|
| 1213 |
+
"epoch": 1.8089887640449438,
|
| 1214 |
+
"grad_norm": 2.282057762145996,
|
| 1215 |
+
"learning_rate": 5.522388059701493e-06,
|
| 1216 |
+
"loss": 0.5822,
|
| 1217 |
+
"mean_token_accuracy": 0.8263915479183197,
|
| 1218 |
+
"num_tokens": 868898.0,
|
| 1219 |
+
"step": 121
|
| 1220 |
+
},
|
| 1221 |
+
{
|
| 1222 |
+
"epoch": 1.8239700374531835,
|
| 1223 |
+
"grad_norm": 2.2916383743286133,
|
| 1224 |
+
"learning_rate": 5.485074626865672e-06,
|
| 1225 |
+
"loss": 0.4774,
|
| 1226 |
+
"mean_token_accuracy": 0.8558280915021896,
|
| 1227 |
+
"num_tokens": 875927.0,
|
| 1228 |
+
"step": 122
|
| 1229 |
+
},
|
| 1230 |
+
{
|
| 1231 |
+
"epoch": 1.8389513108614233,
|
| 1232 |
+
"grad_norm": 2.3634865283966064,
|
| 1233 |
+
"learning_rate": 5.447761194029851e-06,
|
| 1234 |
+
"loss": 0.5833,
|
| 1235 |
+
"mean_token_accuracy": 0.8178814053535461,
|
| 1236 |
+
"num_tokens": 883203.0,
|
| 1237 |
+
"step": 123
|
| 1238 |
+
},
|
| 1239 |
+
{
|
| 1240 |
+
"epoch": 1.8539325842696628,
|
| 1241 |
+
"grad_norm": 2.382763624191284,
|
| 1242 |
+
"learning_rate": 5.41044776119403e-06,
|
| 1243 |
+
"loss": 0.6506,
|
| 1244 |
+
"mean_token_accuracy": 0.8108739107847214,
|
| 1245 |
+
"num_tokens": 891081.0,
|
| 1246 |
+
"step": 124
|
| 1247 |
+
},
|
| 1248 |
+
{
|
| 1249 |
+
"epoch": 1.8689138576779025,
|
| 1250 |
+
"grad_norm": 2.2218973636627197,
|
| 1251 |
+
"learning_rate": 5.37313432835821e-06,
|
| 1252 |
+
"loss": 0.5196,
|
| 1253 |
+
"mean_token_accuracy": 0.8333333134651184,
|
| 1254 |
+
"num_tokens": 899053.0,
|
| 1255 |
+
"step": 125
|
| 1256 |
+
},
|
| 1257 |
+
{
|
| 1258 |
+
"epoch": 1.8838951310861423,
|
| 1259 |
+
"grad_norm": 2.729238748550415,
|
| 1260 |
+
"learning_rate": 5.335820895522389e-06,
|
| 1261 |
+
"loss": 0.6499,
|
| 1262 |
+
"mean_token_accuracy": 0.8122645914554596,
|
| 1263 |
+
"num_tokens": 905078.0,
|
| 1264 |
+
"step": 126
|
| 1265 |
+
},
|
| 1266 |
+
{
|
| 1267 |
+
"epoch": 1.898876404494382,
|
| 1268 |
+
"grad_norm": 2.129035711288452,
|
| 1269 |
+
"learning_rate": 5.298507462686567e-06,
|
| 1270 |
+
"loss": 0.531,
|
| 1271 |
+
"mean_token_accuracy": 0.8345644921064377,
|
| 1272 |
+
"num_tokens": 912716.0,
|
| 1273 |
+
"step": 127
|
| 1274 |
+
},
|
| 1275 |
+
{
|
| 1276 |
+
"epoch": 1.9138576779026217,
|
| 1277 |
+
"grad_norm": 2.543597459793091,
|
| 1278 |
+
"learning_rate": 5.261194029850747e-06,
|
| 1279 |
+
"loss": 0.5738,
|
| 1280 |
+
"mean_token_accuracy": 0.8189967423677444,
|
| 1281 |
+
"num_tokens": 920417.0,
|
| 1282 |
+
"step": 128
|
| 1283 |
+
},
|
| 1284 |
+
{
|
| 1285 |
+
"epoch": 1.9288389513108615,
|
| 1286 |
+
"grad_norm": 2.3534562587738037,
|
| 1287 |
+
"learning_rate": 5.2238805970149255e-06,
|
| 1288 |
+
"loss": 0.5738,
|
| 1289 |
+
"mean_token_accuracy": 0.814308300614357,
|
| 1290 |
+
"num_tokens": 927855.0,
|
| 1291 |
+
"step": 129
|
| 1292 |
+
},
|
| 1293 |
+
{
|
| 1294 |
+
"epoch": 1.9438202247191012,
|
| 1295 |
+
"grad_norm": 2.3981590270996094,
|
| 1296 |
+
"learning_rate": 5.186567164179105e-06,
|
| 1297 |
+
"loss": 0.5595,
|
| 1298 |
+
"mean_token_accuracy": 0.8211537748575211,
|
| 1299 |
+
"num_tokens": 934918.0,
|
| 1300 |
+
"step": 130
|
| 1301 |
+
},
|
| 1302 |
+
{
|
| 1303 |
+
"epoch": 1.9438202247191012,
|
| 1304 |
+
"eval_loss": 1.0272549390792847,
|
| 1305 |
+
"eval_mean_token_accuracy": 0.6856482028961182,
|
| 1306 |
+
"eval_num_tokens": 934918.0,
|
| 1307 |
+
"eval_runtime": 43.4636,
|
| 1308 |
+
"eval_samples_per_second": 0.253,
|
| 1309 |
+
"eval_steps_per_second": 0.138,
|
| 1310 |
+
"step": 130
|
| 1311 |
+
},
|
| 1312 |
+
{
|
| 1313 |
+
"epoch": 1.958801498127341,
|
| 1314 |
+
"grad_norm": 2.955871820449829,
|
| 1315 |
+
"learning_rate": 5.149253731343285e-06,
|
| 1316 |
+
"loss": 0.6324,
|
| 1317 |
+
"mean_token_accuracy": 0.8120583146810532,
|
| 1318 |
+
"num_tokens": 941215.0,
|
| 1319 |
+
"step": 131
|
| 1320 |
+
},
|
| 1321 |
+
{
|
| 1322 |
+
"epoch": 1.9737827715355807,
|
| 1323 |
+
"grad_norm": 2.3583202362060547,
|
| 1324 |
+
"learning_rate": 5.111940298507463e-06,
|
| 1325 |
+
"loss": 0.6178,
|
| 1326 |
+
"mean_token_accuracy": 0.811441496014595,
|
| 1327 |
+
"num_tokens": 948780.0,
|
| 1328 |
+
"step": 132
|
| 1329 |
+
},
|
| 1330 |
+
{
|
| 1331 |
+
"epoch": 1.9887640449438202,
|
| 1332 |
+
"grad_norm": 2.0456173419952393,
|
| 1333 |
+
"learning_rate": 5.074626865671642e-06,
|
| 1334 |
+
"loss": 0.5412,
|
| 1335 |
+
"mean_token_accuracy": 0.8333507776260376,
|
| 1336 |
+
"num_tokens": 956929.0,
|
| 1337 |
+
"step": 133
|
| 1338 |
+
},
|
| 1339 |
+
{
|
| 1340 |
+
"epoch": 2.0,
|
| 1341 |
+
"grad_norm": 2.892012357711792,
|
| 1342 |
+
"learning_rate": 5.037313432835821e-06,
|
| 1343 |
+
"loss": 0.6559,
|
| 1344 |
+
"mean_token_accuracy": 0.8129192392031351,
|
| 1345 |
+
"num_tokens": 961868.0,
|
| 1346 |
+
"step": 134
|
| 1347 |
+
}
|
| 1348 |
+
],
|
| 1349 |
+
"logging_steps": 1,
|
| 1350 |
+
"max_steps": 268,
|
| 1351 |
+
"num_input_tokens_seen": 0,
|
| 1352 |
+
"num_train_epochs": 4,
|
| 1353 |
+
"save_steps": 500,
|
| 1354 |
+
"stateful_callbacks": {
|
| 1355 |
+
"TrainerControl": {
|
| 1356 |
+
"args": {
|
| 1357 |
+
"should_epoch_stop": false,
|
| 1358 |
+
"should_evaluate": false,
|
| 1359 |
+
"should_log": false,
|
| 1360 |
+
"should_save": true,
|
| 1361 |
+
"should_training_stop": false
|
| 1362 |
+
},
|
| 1363 |
+
"attributes": {}
|
| 1364 |
+
}
|
| 1365 |
+
},
|
| 1366 |
+
"total_flos": 8.886130817743872e+16,
|
| 1367 |
+
"train_batch_size": 2,
|
| 1368 |
+
"trial_name": null,
|
| 1369 |
+
"trial_params": null
|
| 1370 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0ec0384353a422b288f36ab6c4973742c276c7f6a9e281b414123e60fb46dcf5
|
| 3 |
+
size 6353
|
vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|