Upload 11 files
Browse files- .gitattributes +1 -0
- added_tokens.json +28 -0
- chat_template.jinja +86 -0
- config.json +35 -0
- generation_config.json +12 -0
- merges.txt +0 -0
- model.safetensors +3 -0
- special_tokens_map.json +31 -0
- tokenizer.json +3 -0
- tokenizer_config.json +240 -0
- trainer_state.json +2224 -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 +1,86 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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 message.content is string 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.content is string %}
|
| 27 |
+
{%- set content = message.content %}
|
| 28 |
+
{%- else %}
|
| 29 |
+
{%- set content = '' %}
|
| 30 |
+
{%- endif %}
|
| 31 |
+
{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
|
| 32 |
+
{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
|
| 33 |
+
{%- elif message.role == "assistant" %}
|
| 34 |
+
{%- set reasoning_content = '' %}
|
| 35 |
+
{%- if message.reasoning_content is string %}
|
| 36 |
+
{%- set reasoning_content = message.reasoning_content %}
|
| 37 |
+
{%- else %}
|
| 38 |
+
{%- if '</think>' in content %}
|
| 39 |
+
{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
|
| 40 |
+
{%- set content = content.split('</think>')[-1].lstrip('\n') %}
|
| 41 |
+
{%- endif %}
|
| 42 |
+
{%- endif %}
|
| 43 |
+
{%- if loop.index0 > ns.last_query_index %}
|
| 44 |
+
{%- if reasoning_content %}
|
| 45 |
+
{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
|
| 46 |
+
{%- else %}
|
| 47 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 48 |
+
{%- endif %}
|
| 49 |
+
{%- else %}
|
| 50 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 51 |
+
{%- endif %}
|
| 52 |
+
{%- if message.tool_calls %}
|
| 53 |
+
{%- for tool_call in message.tool_calls %}
|
| 54 |
+
{%- if (loop.first and content) or (not loop.first) %}
|
| 55 |
+
{{- '\n' }}
|
| 56 |
+
{%- endif %}
|
| 57 |
+
{%- if tool_call.function %}
|
| 58 |
+
{%- set tool_call = tool_call.function %}
|
| 59 |
+
{%- endif %}
|
| 60 |
+
{{- '<tool_call>\n{"name": "' }}
|
| 61 |
+
{{- tool_call.name }}
|
| 62 |
+
{{- '", "arguments": ' }}
|
| 63 |
+
{%- if tool_call.arguments is string %}
|
| 64 |
+
{{- tool_call.arguments }}
|
| 65 |
+
{%- else %}
|
| 66 |
+
{{- tool_call.arguments | tojson }}
|
| 67 |
+
{%- endif %}
|
| 68 |
+
{{- '}\n</tool_call>' }}
|
| 69 |
+
{%- endfor %}
|
| 70 |
+
{%- endif %}
|
| 71 |
+
{{- '<|im_end|>\n' }}
|
| 72 |
+
{%- elif message.role == "tool" %}
|
| 73 |
+
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
|
| 74 |
+
{{- '<|im_start|>user' }}
|
| 75 |
+
{%- endif %}
|
| 76 |
+
{{- '\n<tool_response>\n' }}
|
| 77 |
+
{{- content }}
|
| 78 |
+
{{- '\n</tool_response>' }}
|
| 79 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 80 |
+
{{- '<|im_end|>\n' }}
|
| 81 |
+
{%- endif %}
|
| 82 |
+
{%- endif %}
|
| 83 |
+
{%- endfor %}
|
| 84 |
+
{%- if add_generation_prompt %}
|
| 85 |
+
{{- '<|im_start|>assistant\n' }}
|
| 86 |
+
{%- endif %}
|
config.json
ADDED
|
@@ -0,0 +1,35 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen3ForCausalLM"
|
| 4 |
+
],
|
| 5 |
+
"attention_bias": false,
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"dtype": "float32",
|
| 8 |
+
"eos_token_id": 151645,
|
| 9 |
+
"head_dim": 16,
|
| 10 |
+
"hidden_act": "silu",
|
| 11 |
+
"hidden_size": 64,
|
| 12 |
+
"initializer_range": 0.02,
|
| 13 |
+
"intermediate_size": 160,
|
| 14 |
+
"layer_types": [
|
| 15 |
+
"full_attention",
|
| 16 |
+
"full_attention"
|
| 17 |
+
],
|
| 18 |
+
"max_position_embeddings": 4096,
|
| 19 |
+
"max_window_layers": 2,
|
| 20 |
+
"model_type": "qwen3",
|
| 21 |
+
"num_attention_heads": 4,
|
| 22 |
+
"num_hidden_layers": 2,
|
| 23 |
+
"num_key_value_heads": 2,
|
| 24 |
+
"pad_token_id": 151643,
|
| 25 |
+
"rms_norm_eps": 1e-06,
|
| 26 |
+
"rope_scaling": null,
|
| 27 |
+
"rope_theta": 10000,
|
| 28 |
+
"sliding_window": null,
|
| 29 |
+
"tie_word_embeddings": true,
|
| 30 |
+
"transformers_version": "4.56.2",
|
| 31 |
+
"unsloth_version": "2025.11.2",
|
| 32 |
+
"use_cache": true,
|
| 33 |
+
"use_sliding_window": false,
|
| 34 |
+
"vocab_size": 151936
|
| 35 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"do_sample": true,
|
| 3 |
+
"eos_token_id": [
|
| 4 |
+
151645
|
| 5 |
+
],
|
| 6 |
+
"max_length": 4096,
|
| 7 |
+
"max_new_tokens": 512,
|
| 8 |
+
"pad_token_id": 151643,
|
| 9 |
+
"temperature": 0.7,
|
| 10 |
+
"top_p": 0.9,
|
| 11 |
+
"transformers_version": "4.56.2"
|
| 12 |
+
}
|
merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a328a651d15db3f2be8e7f3ebb9b82271ae67eb16fdd1f1befff1827c38da70c
|
| 3 |
+
size 39243784
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<|im_start|>",
|
| 4 |
+
"<|im_end|>",
|
| 5 |
+
"<|object_ref_start|>",
|
| 6 |
+
"<|object_ref_end|>",
|
| 7 |
+
"<|box_start|>",
|
| 8 |
+
"<|box_end|>",
|
| 9 |
+
"<|quad_start|>",
|
| 10 |
+
"<|quad_end|>",
|
| 11 |
+
"<|vision_start|>",
|
| 12 |
+
"<|vision_end|>",
|
| 13 |
+
"<|vision_pad|>",
|
| 14 |
+
"<|image_pad|>",
|
| 15 |
+
"<|video_pad|>"
|
| 16 |
+
],
|
| 17 |
+
"eos_token": {
|
| 18 |
+
"content": "<|im_end|>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
},
|
| 24 |
+
"pad_token": {
|
| 25 |
+
"content": "<|endoftext|>",
|
| 26 |
+
"lstrip": false,
|
| 27 |
+
"normalized": false,
|
| 28 |
+
"rstrip": false,
|
| 29 |
+
"single_word": false
|
| 30 |
+
}
|
| 31 |
+
}
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:aeb13307a71acd8fe81861d94ad54ab689df773318809eed3cbe794b4492dae4
|
| 3 |
+
size 11422654
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,240 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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": "<|im_end|>",
|
| 232 |
+
"errors": "replace",
|
| 233 |
+
"extra_special_tokens": {},
|
| 234 |
+
"model_max_length": 131072,
|
| 235 |
+
"pad_token": "<|endoftext|>",
|
| 236 |
+
"padding_side": "right",
|
| 237 |
+
"split_special_tokens": false,
|
| 238 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 239 |
+
"unk_token": null
|
| 240 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,2224 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 1.0,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 3063,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.0032653061224489797,
|
| 14 |
+
"grad_norm": 1.763192892074585,
|
| 15 |
+
"learning_rate": 0.0005,
|
| 16 |
+
"loss": 6.1164,
|
| 17 |
+
"step": 10
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.006530612244897959,
|
| 21 |
+
"grad_norm": 1.1696356534957886,
|
| 22 |
+
"learning_rate": 0.0005,
|
| 23 |
+
"loss": 5.8499,
|
| 24 |
+
"step": 20
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.009795918367346938,
|
| 28 |
+
"grad_norm": 1.1040449142456055,
|
| 29 |
+
"learning_rate": 0.0005,
|
| 30 |
+
"loss": 5.6782,
|
| 31 |
+
"step": 30
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.013061224489795919,
|
| 35 |
+
"grad_norm": 1.3148446083068848,
|
| 36 |
+
"learning_rate": 0.0005,
|
| 37 |
+
"loss": 5.6237,
|
| 38 |
+
"step": 40
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.0163265306122449,
|
| 42 |
+
"grad_norm": 1.438623070716858,
|
| 43 |
+
"learning_rate": 0.0005,
|
| 44 |
+
"loss": 5.5178,
|
| 45 |
+
"step": 50
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.019591836734693877,
|
| 49 |
+
"grad_norm": 1.2186000347137451,
|
| 50 |
+
"learning_rate": 0.0005,
|
| 51 |
+
"loss": 5.5895,
|
| 52 |
+
"step": 60
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 0.022857142857142857,
|
| 56 |
+
"grad_norm": 1.088930606842041,
|
| 57 |
+
"learning_rate": 0.0005,
|
| 58 |
+
"loss": 5.4889,
|
| 59 |
+
"step": 70
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.026122448979591838,
|
| 63 |
+
"grad_norm": 1.1969929933547974,
|
| 64 |
+
"learning_rate": 0.0005,
|
| 65 |
+
"loss": 5.3515,
|
| 66 |
+
"step": 80
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.029387755102040815,
|
| 70 |
+
"grad_norm": 1.0405751466751099,
|
| 71 |
+
"learning_rate": 0.0005,
|
| 72 |
+
"loss": 5.2943,
|
| 73 |
+
"step": 90
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.0326530612244898,
|
| 77 |
+
"grad_norm": 1.6840550899505615,
|
| 78 |
+
"learning_rate": 0.0005,
|
| 79 |
+
"loss": 5.1347,
|
| 80 |
+
"step": 100
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.035918367346938776,
|
| 84 |
+
"grad_norm": 1.0448979139328003,
|
| 85 |
+
"learning_rate": 0.0005,
|
| 86 |
+
"loss": 5.2275,
|
| 87 |
+
"step": 110
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.03918367346938775,
|
| 91 |
+
"grad_norm": 1.2239587306976318,
|
| 92 |
+
"learning_rate": 0.0005,
|
| 93 |
+
"loss": 5.1866,
|
| 94 |
+
"step": 120
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"epoch": 0.04244897959183674,
|
| 98 |
+
"grad_norm": 1.0111207962036133,
|
| 99 |
+
"learning_rate": 0.0005,
|
| 100 |
+
"loss": 5.1201,
|
| 101 |
+
"step": 130
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 0.045714285714285714,
|
| 105 |
+
"grad_norm": 1.0412639379501343,
|
| 106 |
+
"learning_rate": 0.0005,
|
| 107 |
+
"loss": 5.0317,
|
| 108 |
+
"step": 140
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"epoch": 0.04897959183673469,
|
| 112 |
+
"grad_norm": 1.6490758657455444,
|
| 113 |
+
"learning_rate": 0.0005,
|
| 114 |
+
"loss": 4.8709,
|
| 115 |
+
"step": 150
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"epoch": 0.052244897959183675,
|
| 119 |
+
"grad_norm": 1.320185661315918,
|
| 120 |
+
"learning_rate": 0.0005,
|
| 121 |
+
"loss": 5.0482,
|
| 122 |
+
"step": 160
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.05551020408163265,
|
| 126 |
+
"grad_norm": 1.23984694480896,
|
| 127 |
+
"learning_rate": 0.0005,
|
| 128 |
+
"loss": 5.1341,
|
| 129 |
+
"step": 170
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.05877551020408163,
|
| 133 |
+
"grad_norm": 1.0305520296096802,
|
| 134 |
+
"learning_rate": 0.0005,
|
| 135 |
+
"loss": 4.9743,
|
| 136 |
+
"step": 180
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 0.062040816326530614,
|
| 140 |
+
"grad_norm": 1.1690291166305542,
|
| 141 |
+
"learning_rate": 0.0005,
|
| 142 |
+
"loss": 4.8896,
|
| 143 |
+
"step": 190
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 0.0653061224489796,
|
| 147 |
+
"grad_norm": 1.5160081386566162,
|
| 148 |
+
"learning_rate": 0.0005,
|
| 149 |
+
"loss": 4.7129,
|
| 150 |
+
"step": 200
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 0.06857142857142857,
|
| 154 |
+
"grad_norm": 1.293174147605896,
|
| 155 |
+
"learning_rate": 0.0005,
|
| 156 |
+
"loss": 4.8936,
|
| 157 |
+
"step": 210
|
| 158 |
+
},
|
| 159 |
+
{
|
| 160 |
+
"epoch": 0.07183673469387755,
|
| 161 |
+
"grad_norm": 0.9752352237701416,
|
| 162 |
+
"learning_rate": 0.0005,
|
| 163 |
+
"loss": 4.9842,
|
| 164 |
+
"step": 220
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 0.07510204081632653,
|
| 168 |
+
"grad_norm": 1.2358481884002686,
|
| 169 |
+
"learning_rate": 0.0005,
|
| 170 |
+
"loss": 4.8956,
|
| 171 |
+
"step": 230
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 0.0783673469387755,
|
| 175 |
+
"grad_norm": 1.4549710750579834,
|
| 176 |
+
"learning_rate": 0.0005,
|
| 177 |
+
"loss": 4.7804,
|
| 178 |
+
"step": 240
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"epoch": 0.08163265306122448,
|
| 182 |
+
"grad_norm": 1.6275160312652588,
|
| 183 |
+
"learning_rate": 0.0005,
|
| 184 |
+
"loss": 4.6489,
|
| 185 |
+
"step": 250
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 0.08489795918367347,
|
| 189 |
+
"grad_norm": 1.3446155786514282,
|
| 190 |
+
"learning_rate": 0.0005,
|
| 191 |
+
"loss": 4.8603,
|
| 192 |
+
"step": 260
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"epoch": 0.08816326530612245,
|
| 196 |
+
"grad_norm": 1.3125636577606201,
|
| 197 |
+
"learning_rate": 0.0005,
|
| 198 |
+
"loss": 4.8614,
|
| 199 |
+
"step": 270
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"epoch": 0.09142857142857143,
|
| 203 |
+
"grad_norm": 1.5089269876480103,
|
| 204 |
+
"learning_rate": 0.0005,
|
| 205 |
+
"loss": 4.7528,
|
| 206 |
+
"step": 280
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 0.0946938775510204,
|
| 210 |
+
"grad_norm": 1.240677833557129,
|
| 211 |
+
"learning_rate": 0.0005,
|
| 212 |
+
"loss": 4.6491,
|
| 213 |
+
"step": 290
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"epoch": 0.09795918367346938,
|
| 217 |
+
"grad_norm": 1.6580984592437744,
|
| 218 |
+
"learning_rate": 0.0005,
|
| 219 |
+
"loss": 4.6021,
|
| 220 |
+
"step": 300
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"epoch": 0.10122448979591837,
|
| 224 |
+
"grad_norm": 1.293299674987793,
|
| 225 |
+
"learning_rate": 0.0005,
|
| 226 |
+
"loss": 4.6556,
|
| 227 |
+
"step": 310
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 0.10448979591836735,
|
| 231 |
+
"grad_norm": 1.0091382265090942,
|
| 232 |
+
"learning_rate": 0.0005,
|
| 233 |
+
"loss": 4.8806,
|
| 234 |
+
"step": 320
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 0.10775510204081633,
|
| 238 |
+
"grad_norm": 1.2688143253326416,
|
| 239 |
+
"learning_rate": 0.0005,
|
| 240 |
+
"loss": 4.706,
|
| 241 |
+
"step": 330
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 0.1110204081632653,
|
| 245 |
+
"grad_norm": 1.514876365661621,
|
| 246 |
+
"learning_rate": 0.0005,
|
| 247 |
+
"loss": 4.649,
|
| 248 |
+
"step": 340
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 0.11428571428571428,
|
| 252 |
+
"grad_norm": 1.8324439525604248,
|
| 253 |
+
"learning_rate": 0.0005,
|
| 254 |
+
"loss": 4.4951,
|
| 255 |
+
"step": 350
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 0.11755102040816326,
|
| 259 |
+
"grad_norm": 1.6239265203475952,
|
| 260 |
+
"learning_rate": 0.0005,
|
| 261 |
+
"loss": 4.5715,
|
| 262 |
+
"step": 360
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"epoch": 0.12081632653061225,
|
| 266 |
+
"grad_norm": 1.2813515663146973,
|
| 267 |
+
"learning_rate": 0.0005,
|
| 268 |
+
"loss": 4.8563,
|
| 269 |
+
"step": 370
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 0.12408163265306123,
|
| 273 |
+
"grad_norm": 1.2220065593719482,
|
| 274 |
+
"learning_rate": 0.0005,
|
| 275 |
+
"loss": 4.6549,
|
| 276 |
+
"step": 380
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 0.1273469387755102,
|
| 280 |
+
"grad_norm": 1.176604986190796,
|
| 281 |
+
"learning_rate": 0.0005,
|
| 282 |
+
"loss": 4.5817,
|
| 283 |
+
"step": 390
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 0.1306122448979592,
|
| 287 |
+
"grad_norm": 1.7251240015029907,
|
| 288 |
+
"learning_rate": 0.0005,
|
| 289 |
+
"loss": 4.4422,
|
| 290 |
+
"step": 400
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 0.13387755102040816,
|
| 294 |
+
"grad_norm": 1.2302827835083008,
|
| 295 |
+
"learning_rate": 0.0005,
|
| 296 |
+
"loss": 4.4658,
|
| 297 |
+
"step": 410
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 0.13714285714285715,
|
| 301 |
+
"grad_norm": 1.0500273704528809,
|
| 302 |
+
"learning_rate": 0.0005,
|
| 303 |
+
"loss": 4.722,
|
| 304 |
+
"step": 420
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 0.1404081632653061,
|
| 308 |
+
"grad_norm": 1.2972230911254883,
|
| 309 |
+
"learning_rate": 0.0005,
|
| 310 |
+
"loss": 4.6021,
|
| 311 |
+
"step": 430
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 0.1436734693877551,
|
| 315 |
+
"grad_norm": 1.294978141784668,
|
| 316 |
+
"learning_rate": 0.0005,
|
| 317 |
+
"loss": 4.4754,
|
| 318 |
+
"step": 440
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 0.1469387755102041,
|
| 322 |
+
"grad_norm": 1.6263995170593262,
|
| 323 |
+
"learning_rate": 0.0005,
|
| 324 |
+
"loss": 4.4881,
|
| 325 |
+
"step": 450
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 0.15020408163265306,
|
| 329 |
+
"grad_norm": 1.2330529689788818,
|
| 330 |
+
"learning_rate": 0.0005,
|
| 331 |
+
"loss": 4.4441,
|
| 332 |
+
"step": 460
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 0.15346938775510205,
|
| 336 |
+
"grad_norm": 0.8953180909156799,
|
| 337 |
+
"learning_rate": 0.0005,
|
| 338 |
+
"loss": 4.6281,
|
| 339 |
+
"step": 470
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 0.156734693877551,
|
| 343 |
+
"grad_norm": 1.2303706407546997,
|
| 344 |
+
"learning_rate": 0.0005,
|
| 345 |
+
"loss": 4.5374,
|
| 346 |
+
"step": 480
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 0.16,
|
| 350 |
+
"grad_norm": 1.4355968236923218,
|
| 351 |
+
"learning_rate": 0.0005,
|
| 352 |
+
"loss": 4.5039,
|
| 353 |
+
"step": 490
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 0.16326530612244897,
|
| 357 |
+
"grad_norm": 2.549136161804199,
|
| 358 |
+
"learning_rate": 0.0005,
|
| 359 |
+
"loss": 4.3848,
|
| 360 |
+
"step": 500
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 0.16326530612244897,
|
| 364 |
+
"eval_loss": 4.471920967102051,
|
| 365 |
+
"eval_runtime": 44.0079,
|
| 366 |
+
"eval_samples_per_second": 45.446,
|
| 367 |
+
"eval_steps_per_second": 11.362,
|
| 368 |
+
"step": 500
|
| 369 |
+
},
|
| 370 |
+
{
|
| 371 |
+
"epoch": 0.16653061224489796,
|
| 372 |
+
"grad_norm": 1.3125051259994507,
|
| 373 |
+
"learning_rate": 0.0005,
|
| 374 |
+
"loss": 4.429,
|
| 375 |
+
"step": 510
|
| 376 |
+
},
|
| 377 |
+
{
|
| 378 |
+
"epoch": 0.16979591836734695,
|
| 379 |
+
"grad_norm": 1.1771793365478516,
|
| 380 |
+
"learning_rate": 0.0005,
|
| 381 |
+
"loss": 4.6117,
|
| 382 |
+
"step": 520
|
| 383 |
+
},
|
| 384 |
+
{
|
| 385 |
+
"epoch": 0.1730612244897959,
|
| 386 |
+
"grad_norm": 1.0817294120788574,
|
| 387 |
+
"learning_rate": 0.0005,
|
| 388 |
+
"loss": 4.5011,
|
| 389 |
+
"step": 530
|
| 390 |
+
},
|
| 391 |
+
{
|
| 392 |
+
"epoch": 0.1763265306122449,
|
| 393 |
+
"grad_norm": 1.7551524639129639,
|
| 394 |
+
"learning_rate": 0.0005,
|
| 395 |
+
"loss": 4.4272,
|
| 396 |
+
"step": 540
|
| 397 |
+
},
|
| 398 |
+
{
|
| 399 |
+
"epoch": 0.17959183673469387,
|
| 400 |
+
"grad_norm": 2.062394142150879,
|
| 401 |
+
"learning_rate": 0.0005,
|
| 402 |
+
"loss": 4.2264,
|
| 403 |
+
"step": 550
|
| 404 |
+
},
|
| 405 |
+
{
|
| 406 |
+
"epoch": 0.18285714285714286,
|
| 407 |
+
"grad_norm": 1.150291919708252,
|
| 408 |
+
"learning_rate": 0.0005,
|
| 409 |
+
"loss": 4.2967,
|
| 410 |
+
"step": 560
|
| 411 |
+
},
|
| 412 |
+
{
|
| 413 |
+
"epoch": 0.18612244897959185,
|
| 414 |
+
"grad_norm": 1.318264126777649,
|
| 415 |
+
"learning_rate": 0.0005,
|
| 416 |
+
"loss": 4.5895,
|
| 417 |
+
"step": 570
|
| 418 |
+
},
|
| 419 |
+
{
|
| 420 |
+
"epoch": 0.1893877551020408,
|
| 421 |
+
"grad_norm": 1.267132043838501,
|
| 422 |
+
"learning_rate": 0.0005,
|
| 423 |
+
"loss": 4.4743,
|
| 424 |
+
"step": 580
|
| 425 |
+
},
|
| 426 |
+
{
|
| 427 |
+
"epoch": 0.1926530612244898,
|
| 428 |
+
"grad_norm": 1.0571893453598022,
|
| 429 |
+
"learning_rate": 0.0005,
|
| 430 |
+
"loss": 4.3215,
|
| 431 |
+
"step": 590
|
| 432 |
+
},
|
| 433 |
+
{
|
| 434 |
+
"epoch": 0.19591836734693877,
|
| 435 |
+
"grad_norm": 1.7111858129501343,
|
| 436 |
+
"learning_rate": 0.0005,
|
| 437 |
+
"loss": 4.3655,
|
| 438 |
+
"step": 600
|
| 439 |
+
},
|
| 440 |
+
{
|
| 441 |
+
"epoch": 0.19918367346938776,
|
| 442 |
+
"grad_norm": 1.3666787147521973,
|
| 443 |
+
"learning_rate": 0.0005,
|
| 444 |
+
"loss": 4.2062,
|
| 445 |
+
"step": 610
|
| 446 |
+
},
|
| 447 |
+
{
|
| 448 |
+
"epoch": 0.20244897959183675,
|
| 449 |
+
"grad_norm": 1.1153773069381714,
|
| 450 |
+
"learning_rate": 0.0005,
|
| 451 |
+
"loss": 4.5956,
|
| 452 |
+
"step": 620
|
| 453 |
+
},
|
| 454 |
+
{
|
| 455 |
+
"epoch": 0.2057142857142857,
|
| 456 |
+
"grad_norm": 1.3033626079559326,
|
| 457 |
+
"learning_rate": 0.0005,
|
| 458 |
+
"loss": 4.3626,
|
| 459 |
+
"step": 630
|
| 460 |
+
},
|
| 461 |
+
{
|
| 462 |
+
"epoch": 0.2089795918367347,
|
| 463 |
+
"grad_norm": 1.2020397186279297,
|
| 464 |
+
"learning_rate": 0.0005,
|
| 465 |
+
"loss": 4.2874,
|
| 466 |
+
"step": 640
|
| 467 |
+
},
|
| 468 |
+
{
|
| 469 |
+
"epoch": 0.21224489795918366,
|
| 470 |
+
"grad_norm": 1.620437741279602,
|
| 471 |
+
"learning_rate": 0.0005,
|
| 472 |
+
"loss": 4.3094,
|
| 473 |
+
"step": 650
|
| 474 |
+
},
|
| 475 |
+
{
|
| 476 |
+
"epoch": 0.21551020408163266,
|
| 477 |
+
"grad_norm": 1.3368499279022217,
|
| 478 |
+
"learning_rate": 0.0005,
|
| 479 |
+
"loss": 4.1476,
|
| 480 |
+
"step": 660
|
| 481 |
+
},
|
| 482 |
+
{
|
| 483 |
+
"epoch": 0.21877551020408162,
|
| 484 |
+
"grad_norm": 1.3473259210586548,
|
| 485 |
+
"learning_rate": 0.0005,
|
| 486 |
+
"loss": 4.515,
|
| 487 |
+
"step": 670
|
| 488 |
+
},
|
| 489 |
+
{
|
| 490 |
+
"epoch": 0.2220408163265306,
|
| 491 |
+
"grad_norm": 1.3251821994781494,
|
| 492 |
+
"learning_rate": 0.0005,
|
| 493 |
+
"loss": 4.2691,
|
| 494 |
+
"step": 680
|
| 495 |
+
},
|
| 496 |
+
{
|
| 497 |
+
"epoch": 0.2253061224489796,
|
| 498 |
+
"grad_norm": 1.4138338565826416,
|
| 499 |
+
"learning_rate": 0.0005,
|
| 500 |
+
"loss": 4.2523,
|
| 501 |
+
"step": 690
|
| 502 |
+
},
|
| 503 |
+
{
|
| 504 |
+
"epoch": 0.22857142857142856,
|
| 505 |
+
"grad_norm": 1.8546305894851685,
|
| 506 |
+
"learning_rate": 0.0005,
|
| 507 |
+
"loss": 4.2569,
|
| 508 |
+
"step": 700
|
| 509 |
+
},
|
| 510 |
+
{
|
| 511 |
+
"epoch": 0.23183673469387756,
|
| 512 |
+
"grad_norm": 1.3483269214630127,
|
| 513 |
+
"learning_rate": 0.0005,
|
| 514 |
+
"loss": 4.0691,
|
| 515 |
+
"step": 710
|
| 516 |
+
},
|
| 517 |
+
{
|
| 518 |
+
"epoch": 0.23510204081632652,
|
| 519 |
+
"grad_norm": 1.0672351121902466,
|
| 520 |
+
"learning_rate": 0.0005,
|
| 521 |
+
"loss": 4.4731,
|
| 522 |
+
"step": 720
|
| 523 |
+
},
|
| 524 |
+
{
|
| 525 |
+
"epoch": 0.2383673469387755,
|
| 526 |
+
"grad_norm": 1.168258786201477,
|
| 527 |
+
"learning_rate": 0.0005,
|
| 528 |
+
"loss": 4.4081,
|
| 529 |
+
"step": 730
|
| 530 |
+
},
|
| 531 |
+
{
|
| 532 |
+
"epoch": 0.2416326530612245,
|
| 533 |
+
"grad_norm": 1.1797970533370972,
|
| 534 |
+
"learning_rate": 0.0005,
|
| 535 |
+
"loss": 4.2101,
|
| 536 |
+
"step": 740
|
| 537 |
+
},
|
| 538 |
+
{
|
| 539 |
+
"epoch": 0.24489795918367346,
|
| 540 |
+
"grad_norm": 1.774629831314087,
|
| 541 |
+
"learning_rate": 0.0005,
|
| 542 |
+
"loss": 4.1419,
|
| 543 |
+
"step": 750
|
| 544 |
+
},
|
| 545 |
+
{
|
| 546 |
+
"epoch": 0.24816326530612245,
|
| 547 |
+
"grad_norm": 1.4174522161483765,
|
| 548 |
+
"learning_rate": 0.0005,
|
| 549 |
+
"loss": 4.0785,
|
| 550 |
+
"step": 760
|
| 551 |
+
},
|
| 552 |
+
{
|
| 553 |
+
"epoch": 0.25142857142857145,
|
| 554 |
+
"grad_norm": 1.1591559648513794,
|
| 555 |
+
"learning_rate": 0.0005,
|
| 556 |
+
"loss": 4.4851,
|
| 557 |
+
"step": 770
|
| 558 |
+
},
|
| 559 |
+
{
|
| 560 |
+
"epoch": 0.2546938775510204,
|
| 561 |
+
"grad_norm": 1.3229284286499023,
|
| 562 |
+
"learning_rate": 0.0005,
|
| 563 |
+
"loss": 4.2819,
|
| 564 |
+
"step": 780
|
| 565 |
+
},
|
| 566 |
+
{
|
| 567 |
+
"epoch": 0.25795918367346937,
|
| 568 |
+
"grad_norm": 1.174056887626648,
|
| 569 |
+
"learning_rate": 0.0005,
|
| 570 |
+
"loss": 4.1234,
|
| 571 |
+
"step": 790
|
| 572 |
+
},
|
| 573 |
+
{
|
| 574 |
+
"epoch": 0.2612244897959184,
|
| 575 |
+
"grad_norm": 1.6990975141525269,
|
| 576 |
+
"learning_rate": 0.0005,
|
| 577 |
+
"loss": 4.0965,
|
| 578 |
+
"step": 800
|
| 579 |
+
},
|
| 580 |
+
{
|
| 581 |
+
"epoch": 0.26448979591836735,
|
| 582 |
+
"grad_norm": 1.4492194652557373,
|
| 583 |
+
"learning_rate": 0.0005,
|
| 584 |
+
"loss": 4.0653,
|
| 585 |
+
"step": 810
|
| 586 |
+
},
|
| 587 |
+
{
|
| 588 |
+
"epoch": 0.2677551020408163,
|
| 589 |
+
"grad_norm": 0.9765328764915466,
|
| 590 |
+
"learning_rate": 0.0005,
|
| 591 |
+
"loss": 4.4531,
|
| 592 |
+
"step": 820
|
| 593 |
+
},
|
| 594 |
+
{
|
| 595 |
+
"epoch": 0.2710204081632653,
|
| 596 |
+
"grad_norm": 1.4868978261947632,
|
| 597 |
+
"learning_rate": 0.0005,
|
| 598 |
+
"loss": 4.2941,
|
| 599 |
+
"step": 830
|
| 600 |
+
},
|
| 601 |
+
{
|
| 602 |
+
"epoch": 0.2742857142857143,
|
| 603 |
+
"grad_norm": 1.3501718044281006,
|
| 604 |
+
"learning_rate": 0.0005,
|
| 605 |
+
"loss": 4.1963,
|
| 606 |
+
"step": 840
|
| 607 |
+
},
|
| 608 |
+
{
|
| 609 |
+
"epoch": 0.27755102040816326,
|
| 610 |
+
"grad_norm": 1.9492390155792236,
|
| 611 |
+
"learning_rate": 0.0005,
|
| 612 |
+
"loss": 4.1563,
|
| 613 |
+
"step": 850
|
| 614 |
+
},
|
| 615 |
+
{
|
| 616 |
+
"epoch": 0.2808163265306122,
|
| 617 |
+
"grad_norm": 1.2434947490692139,
|
| 618 |
+
"learning_rate": 0.0005,
|
| 619 |
+
"loss": 4.0553,
|
| 620 |
+
"step": 860
|
| 621 |
+
},
|
| 622 |
+
{
|
| 623 |
+
"epoch": 0.28408163265306124,
|
| 624 |
+
"grad_norm": 1.1206755638122559,
|
| 625 |
+
"learning_rate": 0.0005,
|
| 626 |
+
"loss": 4.3843,
|
| 627 |
+
"step": 870
|
| 628 |
+
},
|
| 629 |
+
{
|
| 630 |
+
"epoch": 0.2873469387755102,
|
| 631 |
+
"grad_norm": 1.1947944164276123,
|
| 632 |
+
"learning_rate": 0.0005,
|
| 633 |
+
"loss": 4.2625,
|
| 634 |
+
"step": 880
|
| 635 |
+
},
|
| 636 |
+
{
|
| 637 |
+
"epoch": 0.29061224489795917,
|
| 638 |
+
"grad_norm": 1.1833423376083374,
|
| 639 |
+
"learning_rate": 0.0005,
|
| 640 |
+
"loss": 4.1207,
|
| 641 |
+
"step": 890
|
| 642 |
+
},
|
| 643 |
+
{
|
| 644 |
+
"epoch": 0.2938775510204082,
|
| 645 |
+
"grad_norm": 1.6545424461364746,
|
| 646 |
+
"learning_rate": 0.0005,
|
| 647 |
+
"loss": 4.1006,
|
| 648 |
+
"step": 900
|
| 649 |
+
},
|
| 650 |
+
{
|
| 651 |
+
"epoch": 0.29714285714285715,
|
| 652 |
+
"grad_norm": 1.1993494033813477,
|
| 653 |
+
"learning_rate": 0.0005,
|
| 654 |
+
"loss": 3.9992,
|
| 655 |
+
"step": 910
|
| 656 |
+
},
|
| 657 |
+
{
|
| 658 |
+
"epoch": 0.3004081632653061,
|
| 659 |
+
"grad_norm": 1.017640233039856,
|
| 660 |
+
"learning_rate": 0.0005,
|
| 661 |
+
"loss": 4.3819,
|
| 662 |
+
"step": 920
|
| 663 |
+
},
|
| 664 |
+
{
|
| 665 |
+
"epoch": 0.3036734693877551,
|
| 666 |
+
"grad_norm": 1.300307273864746,
|
| 667 |
+
"learning_rate": 0.0005,
|
| 668 |
+
"loss": 4.182,
|
| 669 |
+
"step": 930
|
| 670 |
+
},
|
| 671 |
+
{
|
| 672 |
+
"epoch": 0.3069387755102041,
|
| 673 |
+
"grad_norm": 1.4982844591140747,
|
| 674 |
+
"learning_rate": 0.0005,
|
| 675 |
+
"loss": 4.0585,
|
| 676 |
+
"step": 940
|
| 677 |
+
},
|
| 678 |
+
{
|
| 679 |
+
"epoch": 0.31020408163265306,
|
| 680 |
+
"grad_norm": 1.8079185485839844,
|
| 681 |
+
"learning_rate": 0.0005,
|
| 682 |
+
"loss": 4.0825,
|
| 683 |
+
"step": 950
|
| 684 |
+
},
|
| 685 |
+
{
|
| 686 |
+
"epoch": 0.313469387755102,
|
| 687 |
+
"grad_norm": 1.2230055332183838,
|
| 688 |
+
"learning_rate": 0.0005,
|
| 689 |
+
"loss": 3.9335,
|
| 690 |
+
"step": 960
|
| 691 |
+
},
|
| 692 |
+
{
|
| 693 |
+
"epoch": 0.31673469387755104,
|
| 694 |
+
"grad_norm": 1.372392177581787,
|
| 695 |
+
"learning_rate": 0.0005,
|
| 696 |
+
"loss": 4.3513,
|
| 697 |
+
"step": 970
|
| 698 |
+
},
|
| 699 |
+
{
|
| 700 |
+
"epoch": 0.32,
|
| 701 |
+
"grad_norm": 1.4195263385772705,
|
| 702 |
+
"learning_rate": 0.0005,
|
| 703 |
+
"loss": 4.1446,
|
| 704 |
+
"step": 980
|
| 705 |
+
},
|
| 706 |
+
{
|
| 707 |
+
"epoch": 0.32326530612244897,
|
| 708 |
+
"grad_norm": 1.5404787063598633,
|
| 709 |
+
"learning_rate": 0.0005,
|
| 710 |
+
"loss": 4.0195,
|
| 711 |
+
"step": 990
|
| 712 |
+
},
|
| 713 |
+
{
|
| 714 |
+
"epoch": 0.32653061224489793,
|
| 715 |
+
"grad_norm": 1.884207844734192,
|
| 716 |
+
"learning_rate": 0.0005,
|
| 717 |
+
"loss": 4.0313,
|
| 718 |
+
"step": 1000
|
| 719 |
+
},
|
| 720 |
+
{
|
| 721 |
+
"epoch": 0.32653061224489793,
|
| 722 |
+
"eval_loss": 4.118765354156494,
|
| 723 |
+
"eval_runtime": 43.1312,
|
| 724 |
+
"eval_samples_per_second": 46.37,
|
| 725 |
+
"eval_steps_per_second": 11.593,
|
| 726 |
+
"step": 1000
|
| 727 |
+
},
|
| 728 |
+
{
|
| 729 |
+
"epoch": 0.32979591836734695,
|
| 730 |
+
"grad_norm": 1.2172777652740479,
|
| 731 |
+
"learning_rate": 0.0005,
|
| 732 |
+
"loss": 3.8635,
|
| 733 |
+
"step": 1010
|
| 734 |
+
},
|
| 735 |
+
{
|
| 736 |
+
"epoch": 0.3330612244897959,
|
| 737 |
+
"grad_norm": 1.3385504484176636,
|
| 738 |
+
"learning_rate": 0.0005,
|
| 739 |
+
"loss": 4.2695,
|
| 740 |
+
"step": 1020
|
| 741 |
+
},
|
| 742 |
+
{
|
| 743 |
+
"epoch": 0.3363265306122449,
|
| 744 |
+
"grad_norm": 1.2645728588104248,
|
| 745 |
+
"learning_rate": 0.0005,
|
| 746 |
+
"loss": 4.1298,
|
| 747 |
+
"step": 1030
|
| 748 |
+
},
|
| 749 |
+
{
|
| 750 |
+
"epoch": 0.3395918367346939,
|
| 751 |
+
"grad_norm": 1.1611703634262085,
|
| 752 |
+
"learning_rate": 0.0005,
|
| 753 |
+
"loss": 4.0871,
|
| 754 |
+
"step": 1040
|
| 755 |
+
},
|
| 756 |
+
{
|
| 757 |
+
"epoch": 0.34285714285714286,
|
| 758 |
+
"grad_norm": 1.9043705463409424,
|
| 759 |
+
"learning_rate": 0.0005,
|
| 760 |
+
"loss": 4.0687,
|
| 761 |
+
"step": 1050
|
| 762 |
+
},
|
| 763 |
+
{
|
| 764 |
+
"epoch": 0.3461224489795918,
|
| 765 |
+
"grad_norm": 1.109143853187561,
|
| 766 |
+
"learning_rate": 0.0005,
|
| 767 |
+
"loss": 3.9311,
|
| 768 |
+
"step": 1060
|
| 769 |
+
},
|
| 770 |
+
{
|
| 771 |
+
"epoch": 0.34938775510204084,
|
| 772 |
+
"grad_norm": 1.3506762981414795,
|
| 773 |
+
"learning_rate": 0.0005,
|
| 774 |
+
"loss": 4.2937,
|
| 775 |
+
"step": 1070
|
| 776 |
+
},
|
| 777 |
+
{
|
| 778 |
+
"epoch": 0.3526530612244898,
|
| 779 |
+
"grad_norm": 1.5633002519607544,
|
| 780 |
+
"learning_rate": 0.0005,
|
| 781 |
+
"loss": 4.0552,
|
| 782 |
+
"step": 1080
|
| 783 |
+
},
|
| 784 |
+
{
|
| 785 |
+
"epoch": 0.35591836734693877,
|
| 786 |
+
"grad_norm": 1.3422085046768188,
|
| 787 |
+
"learning_rate": 0.0005,
|
| 788 |
+
"loss": 4.1209,
|
| 789 |
+
"step": 1090
|
| 790 |
+
},
|
| 791 |
+
{
|
| 792 |
+
"epoch": 0.35918367346938773,
|
| 793 |
+
"grad_norm": 1.8398027420043945,
|
| 794 |
+
"learning_rate": 0.0005,
|
| 795 |
+
"loss": 4.0818,
|
| 796 |
+
"step": 1100
|
| 797 |
+
},
|
| 798 |
+
{
|
| 799 |
+
"epoch": 0.36244897959183675,
|
| 800 |
+
"grad_norm": 1.0788570642471313,
|
| 801 |
+
"learning_rate": 0.0005,
|
| 802 |
+
"loss": 3.8917,
|
| 803 |
+
"step": 1110
|
| 804 |
+
},
|
| 805 |
+
{
|
| 806 |
+
"epoch": 0.3657142857142857,
|
| 807 |
+
"grad_norm": 1.3736050128936768,
|
| 808 |
+
"learning_rate": 0.0005,
|
| 809 |
+
"loss": 4.2967,
|
| 810 |
+
"step": 1120
|
| 811 |
+
},
|
| 812 |
+
{
|
| 813 |
+
"epoch": 0.3689795918367347,
|
| 814 |
+
"grad_norm": 1.249338150024414,
|
| 815 |
+
"learning_rate": 0.0005,
|
| 816 |
+
"loss": 4.1155,
|
| 817 |
+
"step": 1130
|
| 818 |
+
},
|
| 819 |
+
{
|
| 820 |
+
"epoch": 0.3722448979591837,
|
| 821 |
+
"grad_norm": 1.3408821821212769,
|
| 822 |
+
"learning_rate": 0.0005,
|
| 823 |
+
"loss": 4.0186,
|
| 824 |
+
"step": 1140
|
| 825 |
+
},
|
| 826 |
+
{
|
| 827 |
+
"epoch": 0.37551020408163266,
|
| 828 |
+
"grad_norm": 1.4768186807632446,
|
| 829 |
+
"learning_rate": 0.0005,
|
| 830 |
+
"loss": 3.9932,
|
| 831 |
+
"step": 1150
|
| 832 |
+
},
|
| 833 |
+
{
|
| 834 |
+
"epoch": 0.3787755102040816,
|
| 835 |
+
"grad_norm": 1.274889349937439,
|
| 836 |
+
"learning_rate": 0.0005,
|
| 837 |
+
"loss": 3.7688,
|
| 838 |
+
"step": 1160
|
| 839 |
+
},
|
| 840 |
+
{
|
| 841 |
+
"epoch": 0.3820408163265306,
|
| 842 |
+
"grad_norm": 1.17601478099823,
|
| 843 |
+
"learning_rate": 0.0005,
|
| 844 |
+
"loss": 4.1915,
|
| 845 |
+
"step": 1170
|
| 846 |
+
},
|
| 847 |
+
{
|
| 848 |
+
"epoch": 0.3853061224489796,
|
| 849 |
+
"grad_norm": 1.2624982595443726,
|
| 850 |
+
"learning_rate": 0.0005,
|
| 851 |
+
"loss": 4.0991,
|
| 852 |
+
"step": 1180
|
| 853 |
+
},
|
| 854 |
+
{
|
| 855 |
+
"epoch": 0.38857142857142857,
|
| 856 |
+
"grad_norm": 1.4248754978179932,
|
| 857 |
+
"learning_rate": 0.0005,
|
| 858 |
+
"loss": 4.0275,
|
| 859 |
+
"step": 1190
|
| 860 |
+
},
|
| 861 |
+
{
|
| 862 |
+
"epoch": 0.39183673469387753,
|
| 863 |
+
"grad_norm": 1.8577288389205933,
|
| 864 |
+
"learning_rate": 0.0005,
|
| 865 |
+
"loss": 3.9708,
|
| 866 |
+
"step": 1200
|
| 867 |
+
},
|
| 868 |
+
{
|
| 869 |
+
"epoch": 0.39510204081632655,
|
| 870 |
+
"grad_norm": 1.2153960466384888,
|
| 871 |
+
"learning_rate": 0.0005,
|
| 872 |
+
"loss": 3.8195,
|
| 873 |
+
"step": 1210
|
| 874 |
+
},
|
| 875 |
+
{
|
| 876 |
+
"epoch": 0.3983673469387755,
|
| 877 |
+
"grad_norm": 1.238071084022522,
|
| 878 |
+
"learning_rate": 0.0005,
|
| 879 |
+
"loss": 4.3136,
|
| 880 |
+
"step": 1220
|
| 881 |
+
},
|
| 882 |
+
{
|
| 883 |
+
"epoch": 0.4016326530612245,
|
| 884 |
+
"grad_norm": 1.4334009885787964,
|
| 885 |
+
"learning_rate": 0.0005,
|
| 886 |
+
"loss": 4.1319,
|
| 887 |
+
"step": 1230
|
| 888 |
+
},
|
| 889 |
+
{
|
| 890 |
+
"epoch": 0.4048979591836735,
|
| 891 |
+
"grad_norm": 1.3810005187988281,
|
| 892 |
+
"learning_rate": 0.0005,
|
| 893 |
+
"loss": 4.0287,
|
| 894 |
+
"step": 1240
|
| 895 |
+
},
|
| 896 |
+
{
|
| 897 |
+
"epoch": 0.40816326530612246,
|
| 898 |
+
"grad_norm": 2.1688148975372314,
|
| 899 |
+
"learning_rate": 0.0005,
|
| 900 |
+
"loss": 4.0158,
|
| 901 |
+
"step": 1250
|
| 902 |
+
},
|
| 903 |
+
{
|
| 904 |
+
"epoch": 0.4114285714285714,
|
| 905 |
+
"grad_norm": 1.2777838706970215,
|
| 906 |
+
"learning_rate": 0.0005,
|
| 907 |
+
"loss": 3.8439,
|
| 908 |
+
"step": 1260
|
| 909 |
+
},
|
| 910 |
+
{
|
| 911 |
+
"epoch": 0.4146938775510204,
|
| 912 |
+
"grad_norm": 1.1235041618347168,
|
| 913 |
+
"learning_rate": 0.0005,
|
| 914 |
+
"loss": 4.2695,
|
| 915 |
+
"step": 1270
|
| 916 |
+
},
|
| 917 |
+
{
|
| 918 |
+
"epoch": 0.4179591836734694,
|
| 919 |
+
"grad_norm": 1.2477576732635498,
|
| 920 |
+
"learning_rate": 0.0005,
|
| 921 |
+
"loss": 4.0986,
|
| 922 |
+
"step": 1280
|
| 923 |
+
},
|
| 924 |
+
{
|
| 925 |
+
"epoch": 0.42122448979591837,
|
| 926 |
+
"grad_norm": 1.2333978414535522,
|
| 927 |
+
"learning_rate": 0.0005,
|
| 928 |
+
"loss": 4.007,
|
| 929 |
+
"step": 1290
|
| 930 |
+
},
|
| 931 |
+
{
|
| 932 |
+
"epoch": 0.42448979591836733,
|
| 933 |
+
"grad_norm": 2.194262981414795,
|
| 934 |
+
"learning_rate": 0.0005,
|
| 935 |
+
"loss": 3.9411,
|
| 936 |
+
"step": 1300
|
| 937 |
+
},
|
| 938 |
+
{
|
| 939 |
+
"epoch": 0.42775510204081635,
|
| 940 |
+
"grad_norm": 1.084908366203308,
|
| 941 |
+
"learning_rate": 0.0005,
|
| 942 |
+
"loss": 3.6208,
|
| 943 |
+
"step": 1310
|
| 944 |
+
},
|
| 945 |
+
{
|
| 946 |
+
"epoch": 0.4310204081632653,
|
| 947 |
+
"grad_norm": 1.275455117225647,
|
| 948 |
+
"learning_rate": 0.0005,
|
| 949 |
+
"loss": 4.2136,
|
| 950 |
+
"step": 1320
|
| 951 |
+
},
|
| 952 |
+
{
|
| 953 |
+
"epoch": 0.4342857142857143,
|
| 954 |
+
"grad_norm": 1.4374445676803589,
|
| 955 |
+
"learning_rate": 0.0005,
|
| 956 |
+
"loss": 4.0137,
|
| 957 |
+
"step": 1330
|
| 958 |
+
},
|
| 959 |
+
{
|
| 960 |
+
"epoch": 0.43755102040816324,
|
| 961 |
+
"grad_norm": 1.3499337434768677,
|
| 962 |
+
"learning_rate": 0.0005,
|
| 963 |
+
"loss": 3.8929,
|
| 964 |
+
"step": 1340
|
| 965 |
+
},
|
| 966 |
+
{
|
| 967 |
+
"epoch": 0.44081632653061226,
|
| 968 |
+
"grad_norm": 1.9091603755950928,
|
| 969 |
+
"learning_rate": 0.0005,
|
| 970 |
+
"loss": 3.8582,
|
| 971 |
+
"step": 1350
|
| 972 |
+
},
|
| 973 |
+
{
|
| 974 |
+
"epoch": 0.4440816326530612,
|
| 975 |
+
"grad_norm": 1.0902653932571411,
|
| 976 |
+
"learning_rate": 0.0005,
|
| 977 |
+
"loss": 3.6813,
|
| 978 |
+
"step": 1360
|
| 979 |
+
},
|
| 980 |
+
{
|
| 981 |
+
"epoch": 0.4473469387755102,
|
| 982 |
+
"grad_norm": 1.1447824239730835,
|
| 983 |
+
"learning_rate": 0.0005,
|
| 984 |
+
"loss": 4.236,
|
| 985 |
+
"step": 1370
|
| 986 |
+
},
|
| 987 |
+
{
|
| 988 |
+
"epoch": 0.4506122448979592,
|
| 989 |
+
"grad_norm": 1.4679241180419922,
|
| 990 |
+
"learning_rate": 0.0005,
|
| 991 |
+
"loss": 3.9569,
|
| 992 |
+
"step": 1380
|
| 993 |
+
},
|
| 994 |
+
{
|
| 995 |
+
"epoch": 0.45387755102040817,
|
| 996 |
+
"grad_norm": 1.7417553663253784,
|
| 997 |
+
"learning_rate": 0.0005,
|
| 998 |
+
"loss": 3.8949,
|
| 999 |
+
"step": 1390
|
| 1000 |
+
},
|
| 1001 |
+
{
|
| 1002 |
+
"epoch": 0.45714285714285713,
|
| 1003 |
+
"grad_norm": 1.7916682958602905,
|
| 1004 |
+
"learning_rate": 0.0005,
|
| 1005 |
+
"loss": 3.8576,
|
| 1006 |
+
"step": 1400
|
| 1007 |
+
},
|
| 1008 |
+
{
|
| 1009 |
+
"epoch": 0.46040816326530615,
|
| 1010 |
+
"grad_norm": 1.053566813468933,
|
| 1011 |
+
"learning_rate": 0.0005,
|
| 1012 |
+
"loss": 3.6635,
|
| 1013 |
+
"step": 1410
|
| 1014 |
+
},
|
| 1015 |
+
{
|
| 1016 |
+
"epoch": 0.4636734693877551,
|
| 1017 |
+
"grad_norm": 1.0085692405700684,
|
| 1018 |
+
"learning_rate": 0.0005,
|
| 1019 |
+
"loss": 4.11,
|
| 1020 |
+
"step": 1420
|
| 1021 |
+
},
|
| 1022 |
+
{
|
| 1023 |
+
"epoch": 0.4669387755102041,
|
| 1024 |
+
"grad_norm": 1.3383585214614868,
|
| 1025 |
+
"learning_rate": 0.0005,
|
| 1026 |
+
"loss": 3.9825,
|
| 1027 |
+
"step": 1430
|
| 1028 |
+
},
|
| 1029 |
+
{
|
| 1030 |
+
"epoch": 0.47020408163265304,
|
| 1031 |
+
"grad_norm": 1.3227241039276123,
|
| 1032 |
+
"learning_rate": 0.0005,
|
| 1033 |
+
"loss": 3.8703,
|
| 1034 |
+
"step": 1440
|
| 1035 |
+
},
|
| 1036 |
+
{
|
| 1037 |
+
"epoch": 0.47346938775510206,
|
| 1038 |
+
"grad_norm": 2.0333919525146484,
|
| 1039 |
+
"learning_rate": 0.0005,
|
| 1040 |
+
"loss": 3.8328,
|
| 1041 |
+
"step": 1450
|
| 1042 |
+
},
|
| 1043 |
+
{
|
| 1044 |
+
"epoch": 0.476734693877551,
|
| 1045 |
+
"grad_norm": 1.2266664505004883,
|
| 1046 |
+
"learning_rate": 0.0005,
|
| 1047 |
+
"loss": 3.6192,
|
| 1048 |
+
"step": 1460
|
| 1049 |
+
},
|
| 1050 |
+
{
|
| 1051 |
+
"epoch": 0.48,
|
| 1052 |
+
"grad_norm": 1.3952326774597168,
|
| 1053 |
+
"learning_rate": 0.0005,
|
| 1054 |
+
"loss": 4.149,
|
| 1055 |
+
"step": 1470
|
| 1056 |
+
},
|
| 1057 |
+
{
|
| 1058 |
+
"epoch": 0.483265306122449,
|
| 1059 |
+
"grad_norm": 1.4793697595596313,
|
| 1060 |
+
"learning_rate": 0.0005,
|
| 1061 |
+
"loss": 4.0945,
|
| 1062 |
+
"step": 1480
|
| 1063 |
+
},
|
| 1064 |
+
{
|
| 1065 |
+
"epoch": 0.48653061224489796,
|
| 1066 |
+
"grad_norm": 1.4412100315093994,
|
| 1067 |
+
"learning_rate": 0.0005,
|
| 1068 |
+
"loss": 3.8816,
|
| 1069 |
+
"step": 1490
|
| 1070 |
+
},
|
| 1071 |
+
{
|
| 1072 |
+
"epoch": 0.4897959183673469,
|
| 1073 |
+
"grad_norm": 1.8379197120666504,
|
| 1074 |
+
"learning_rate": 0.0005,
|
| 1075 |
+
"loss": 3.766,
|
| 1076 |
+
"step": 1500
|
| 1077 |
+
},
|
| 1078 |
+
{
|
| 1079 |
+
"epoch": 0.4897959183673469,
|
| 1080 |
+
"eval_loss": 3.902669906616211,
|
| 1081 |
+
"eval_runtime": 43.0604,
|
| 1082 |
+
"eval_samples_per_second": 46.446,
|
| 1083 |
+
"eval_steps_per_second": 11.612,
|
| 1084 |
+
"step": 1500
|
| 1085 |
+
},
|
| 1086 |
+
{
|
| 1087 |
+
"epoch": 0.4930612244897959,
|
| 1088 |
+
"grad_norm": 1.1561907529830933,
|
| 1089 |
+
"learning_rate": 0.0005,
|
| 1090 |
+
"loss": 3.5564,
|
| 1091 |
+
"step": 1510
|
| 1092 |
+
},
|
| 1093 |
+
{
|
| 1094 |
+
"epoch": 0.4963265306122449,
|
| 1095 |
+
"grad_norm": 1.1232249736785889,
|
| 1096 |
+
"learning_rate": 0.0005,
|
| 1097 |
+
"loss": 4.1061,
|
| 1098 |
+
"step": 1520
|
| 1099 |
+
},
|
| 1100 |
+
{
|
| 1101 |
+
"epoch": 0.4995918367346939,
|
| 1102 |
+
"grad_norm": 1.1983751058578491,
|
| 1103 |
+
"learning_rate": 0.0005,
|
| 1104 |
+
"loss": 4.0355,
|
| 1105 |
+
"step": 1530
|
| 1106 |
+
},
|
| 1107 |
+
{
|
| 1108 |
+
"epoch": 0.5028571428571429,
|
| 1109 |
+
"grad_norm": 1.4547094106674194,
|
| 1110 |
+
"learning_rate": 0.0005,
|
| 1111 |
+
"loss": 3.9718,
|
| 1112 |
+
"step": 1540
|
| 1113 |
+
},
|
| 1114 |
+
{
|
| 1115 |
+
"epoch": 0.5061224489795918,
|
| 1116 |
+
"grad_norm": 2.0942959785461426,
|
| 1117 |
+
"learning_rate": 0.0005,
|
| 1118 |
+
"loss": 3.8531,
|
| 1119 |
+
"step": 1550
|
| 1120 |
+
},
|
| 1121 |
+
{
|
| 1122 |
+
"epoch": 0.5093877551020408,
|
| 1123 |
+
"grad_norm": 1.4254790544509888,
|
| 1124 |
+
"learning_rate": 0.0005,
|
| 1125 |
+
"loss": 3.6136,
|
| 1126 |
+
"step": 1560
|
| 1127 |
+
},
|
| 1128 |
+
{
|
| 1129 |
+
"epoch": 0.5126530612244898,
|
| 1130 |
+
"grad_norm": 1.3434633016586304,
|
| 1131 |
+
"learning_rate": 0.0005,
|
| 1132 |
+
"loss": 4.0861,
|
| 1133 |
+
"step": 1570
|
| 1134 |
+
},
|
| 1135 |
+
{
|
| 1136 |
+
"epoch": 0.5159183673469387,
|
| 1137 |
+
"grad_norm": 1.2875784635543823,
|
| 1138 |
+
"learning_rate": 0.0005,
|
| 1139 |
+
"loss": 3.9535,
|
| 1140 |
+
"step": 1580
|
| 1141 |
+
},
|
| 1142 |
+
{
|
| 1143 |
+
"epoch": 0.5191836734693878,
|
| 1144 |
+
"grad_norm": 1.324489951133728,
|
| 1145 |
+
"learning_rate": 0.0005,
|
| 1146 |
+
"loss": 3.7898,
|
| 1147 |
+
"step": 1590
|
| 1148 |
+
},
|
| 1149 |
+
{
|
| 1150 |
+
"epoch": 0.5224489795918368,
|
| 1151 |
+
"grad_norm": 1.9661375284194946,
|
| 1152 |
+
"learning_rate": 0.0005,
|
| 1153 |
+
"loss": 3.8496,
|
| 1154 |
+
"step": 1600
|
| 1155 |
+
},
|
| 1156 |
+
{
|
| 1157 |
+
"epoch": 0.5257142857142857,
|
| 1158 |
+
"grad_norm": 1.1303874254226685,
|
| 1159 |
+
"learning_rate": 0.0005,
|
| 1160 |
+
"loss": 3.5894,
|
| 1161 |
+
"step": 1610
|
| 1162 |
+
},
|
| 1163 |
+
{
|
| 1164 |
+
"epoch": 0.5289795918367347,
|
| 1165 |
+
"grad_norm": 1.2739813327789307,
|
| 1166 |
+
"learning_rate": 0.0005,
|
| 1167 |
+
"loss": 4.0466,
|
| 1168 |
+
"step": 1620
|
| 1169 |
+
},
|
| 1170 |
+
{
|
| 1171 |
+
"epoch": 0.5322448979591837,
|
| 1172 |
+
"grad_norm": 1.3381832838058472,
|
| 1173 |
+
"learning_rate": 0.0005,
|
| 1174 |
+
"loss": 3.9463,
|
| 1175 |
+
"step": 1630
|
| 1176 |
+
},
|
| 1177 |
+
{
|
| 1178 |
+
"epoch": 0.5355102040816326,
|
| 1179 |
+
"grad_norm": 1.3114221096038818,
|
| 1180 |
+
"learning_rate": 0.0005,
|
| 1181 |
+
"loss": 3.8021,
|
| 1182 |
+
"step": 1640
|
| 1183 |
+
},
|
| 1184 |
+
{
|
| 1185 |
+
"epoch": 0.5387755102040817,
|
| 1186 |
+
"grad_norm": 1.9492048025131226,
|
| 1187 |
+
"learning_rate": 0.0005,
|
| 1188 |
+
"loss": 3.7187,
|
| 1189 |
+
"step": 1650
|
| 1190 |
+
},
|
| 1191 |
+
{
|
| 1192 |
+
"epoch": 0.5420408163265306,
|
| 1193 |
+
"grad_norm": 1.1877042055130005,
|
| 1194 |
+
"learning_rate": 0.0005,
|
| 1195 |
+
"loss": 3.5491,
|
| 1196 |
+
"step": 1660
|
| 1197 |
+
},
|
| 1198 |
+
{
|
| 1199 |
+
"epoch": 0.5453061224489796,
|
| 1200 |
+
"grad_norm": 1.1403299570083618,
|
| 1201 |
+
"learning_rate": 0.0005,
|
| 1202 |
+
"loss": 4.0365,
|
| 1203 |
+
"step": 1670
|
| 1204 |
+
},
|
| 1205 |
+
{
|
| 1206 |
+
"epoch": 0.5485714285714286,
|
| 1207 |
+
"grad_norm": 1.369149088859558,
|
| 1208 |
+
"learning_rate": 0.0005,
|
| 1209 |
+
"loss": 3.8219,
|
| 1210 |
+
"step": 1680
|
| 1211 |
+
},
|
| 1212 |
+
{
|
| 1213 |
+
"epoch": 0.5518367346938775,
|
| 1214 |
+
"grad_norm": 1.3963128328323364,
|
| 1215 |
+
"learning_rate": 0.0005,
|
| 1216 |
+
"loss": 3.9018,
|
| 1217 |
+
"step": 1690
|
| 1218 |
+
},
|
| 1219 |
+
{
|
| 1220 |
+
"epoch": 0.5551020408163265,
|
| 1221 |
+
"grad_norm": 1.9626106023788452,
|
| 1222 |
+
"learning_rate": 0.0005,
|
| 1223 |
+
"loss": 3.8125,
|
| 1224 |
+
"step": 1700
|
| 1225 |
+
},
|
| 1226 |
+
{
|
| 1227 |
+
"epoch": 0.5583673469387755,
|
| 1228 |
+
"grad_norm": 1.3681797981262207,
|
| 1229 |
+
"learning_rate": 0.0005,
|
| 1230 |
+
"loss": 3.5254,
|
| 1231 |
+
"step": 1710
|
| 1232 |
+
},
|
| 1233 |
+
{
|
| 1234 |
+
"epoch": 0.5616326530612245,
|
| 1235 |
+
"grad_norm": 1.3346383571624756,
|
| 1236 |
+
"learning_rate": 0.0005,
|
| 1237 |
+
"loss": 4.1034,
|
| 1238 |
+
"step": 1720
|
| 1239 |
+
},
|
| 1240 |
+
{
|
| 1241 |
+
"epoch": 0.5648979591836735,
|
| 1242 |
+
"grad_norm": 1.2607356309890747,
|
| 1243 |
+
"learning_rate": 0.0005,
|
| 1244 |
+
"loss": 3.8995,
|
| 1245 |
+
"step": 1730
|
| 1246 |
+
},
|
| 1247 |
+
{
|
| 1248 |
+
"epoch": 0.5681632653061225,
|
| 1249 |
+
"grad_norm": 1.4595521688461304,
|
| 1250 |
+
"learning_rate": 0.0005,
|
| 1251 |
+
"loss": 3.7525,
|
| 1252 |
+
"step": 1740
|
| 1253 |
+
},
|
| 1254 |
+
{
|
| 1255 |
+
"epoch": 0.5714285714285714,
|
| 1256 |
+
"grad_norm": 2.0250532627105713,
|
| 1257 |
+
"learning_rate": 0.0005,
|
| 1258 |
+
"loss": 3.8421,
|
| 1259 |
+
"step": 1750
|
| 1260 |
+
},
|
| 1261 |
+
{
|
| 1262 |
+
"epoch": 0.5746938775510204,
|
| 1263 |
+
"grad_norm": 1.277748942375183,
|
| 1264 |
+
"learning_rate": 0.0005,
|
| 1265 |
+
"loss": 3.6177,
|
| 1266 |
+
"step": 1760
|
| 1267 |
+
},
|
| 1268 |
+
{
|
| 1269 |
+
"epoch": 0.5779591836734694,
|
| 1270 |
+
"grad_norm": 1.3413293361663818,
|
| 1271 |
+
"learning_rate": 0.0005,
|
| 1272 |
+
"loss": 4.0805,
|
| 1273 |
+
"step": 1770
|
| 1274 |
+
},
|
| 1275 |
+
{
|
| 1276 |
+
"epoch": 0.5812244897959183,
|
| 1277 |
+
"grad_norm": 1.1629762649536133,
|
| 1278 |
+
"learning_rate": 0.0005,
|
| 1279 |
+
"loss": 3.9218,
|
| 1280 |
+
"step": 1780
|
| 1281 |
+
},
|
| 1282 |
+
{
|
| 1283 |
+
"epoch": 0.5844897959183674,
|
| 1284 |
+
"grad_norm": 1.3503767251968384,
|
| 1285 |
+
"learning_rate": 0.0005,
|
| 1286 |
+
"loss": 3.7097,
|
| 1287 |
+
"step": 1790
|
| 1288 |
+
},
|
| 1289 |
+
{
|
| 1290 |
+
"epoch": 0.5877551020408164,
|
| 1291 |
+
"grad_norm": 1.966658353805542,
|
| 1292 |
+
"learning_rate": 0.0005,
|
| 1293 |
+
"loss": 3.8113,
|
| 1294 |
+
"step": 1800
|
| 1295 |
+
},
|
| 1296 |
+
{
|
| 1297 |
+
"epoch": 0.5910204081632653,
|
| 1298 |
+
"grad_norm": 1.1706182956695557,
|
| 1299 |
+
"learning_rate": 0.0005,
|
| 1300 |
+
"loss": 3.6205,
|
| 1301 |
+
"step": 1810
|
| 1302 |
+
},
|
| 1303 |
+
{
|
| 1304 |
+
"epoch": 0.5942857142857143,
|
| 1305 |
+
"grad_norm": 1.095694661140442,
|
| 1306 |
+
"learning_rate": 0.0005,
|
| 1307 |
+
"loss": 3.9975,
|
| 1308 |
+
"step": 1820
|
| 1309 |
+
},
|
| 1310 |
+
{
|
| 1311 |
+
"epoch": 0.5975510204081632,
|
| 1312 |
+
"grad_norm": 1.3853328227996826,
|
| 1313 |
+
"learning_rate": 0.0005,
|
| 1314 |
+
"loss": 3.8375,
|
| 1315 |
+
"step": 1830
|
| 1316 |
+
},
|
| 1317 |
+
{
|
| 1318 |
+
"epoch": 0.6008163265306122,
|
| 1319 |
+
"grad_norm": 1.396588683128357,
|
| 1320 |
+
"learning_rate": 0.0005,
|
| 1321 |
+
"loss": 3.8137,
|
| 1322 |
+
"step": 1840
|
| 1323 |
+
},
|
| 1324 |
+
{
|
| 1325 |
+
"epoch": 0.6040816326530613,
|
| 1326 |
+
"grad_norm": 1.8910547494888306,
|
| 1327 |
+
"learning_rate": 0.0005,
|
| 1328 |
+
"loss": 3.8027,
|
| 1329 |
+
"step": 1850
|
| 1330 |
+
},
|
| 1331 |
+
{
|
| 1332 |
+
"epoch": 0.6073469387755102,
|
| 1333 |
+
"grad_norm": 1.1377391815185547,
|
| 1334 |
+
"learning_rate": 0.0005,
|
| 1335 |
+
"loss": 3.4935,
|
| 1336 |
+
"step": 1860
|
| 1337 |
+
},
|
| 1338 |
+
{
|
| 1339 |
+
"epoch": 0.6106122448979592,
|
| 1340 |
+
"grad_norm": 1.1120401620864868,
|
| 1341 |
+
"learning_rate": 0.0005,
|
| 1342 |
+
"loss": 4.0356,
|
| 1343 |
+
"step": 1870
|
| 1344 |
+
},
|
| 1345 |
+
{
|
| 1346 |
+
"epoch": 0.6138775510204082,
|
| 1347 |
+
"grad_norm": 1.2026475667953491,
|
| 1348 |
+
"learning_rate": 0.0005,
|
| 1349 |
+
"loss": 3.8108,
|
| 1350 |
+
"step": 1880
|
| 1351 |
+
},
|
| 1352 |
+
{
|
| 1353 |
+
"epoch": 0.6171428571428571,
|
| 1354 |
+
"grad_norm": 1.4205538034439087,
|
| 1355 |
+
"learning_rate": 0.0005,
|
| 1356 |
+
"loss": 3.731,
|
| 1357 |
+
"step": 1890
|
| 1358 |
+
},
|
| 1359 |
+
{
|
| 1360 |
+
"epoch": 0.6204081632653061,
|
| 1361 |
+
"grad_norm": 1.925189733505249,
|
| 1362 |
+
"learning_rate": 0.0005,
|
| 1363 |
+
"loss": 3.7237,
|
| 1364 |
+
"step": 1900
|
| 1365 |
+
},
|
| 1366 |
+
{
|
| 1367 |
+
"epoch": 0.6236734693877551,
|
| 1368 |
+
"grad_norm": 1.1621805429458618,
|
| 1369 |
+
"learning_rate": 0.0005,
|
| 1370 |
+
"loss": 3.5831,
|
| 1371 |
+
"step": 1910
|
| 1372 |
+
},
|
| 1373 |
+
{
|
| 1374 |
+
"epoch": 0.626938775510204,
|
| 1375 |
+
"grad_norm": 1.2125190496444702,
|
| 1376 |
+
"learning_rate": 0.0005,
|
| 1377 |
+
"loss": 3.9736,
|
| 1378 |
+
"step": 1920
|
| 1379 |
+
},
|
| 1380 |
+
{
|
| 1381 |
+
"epoch": 0.6302040816326531,
|
| 1382 |
+
"grad_norm": 1.4116473197937012,
|
| 1383 |
+
"learning_rate": 0.0005,
|
| 1384 |
+
"loss": 3.8547,
|
| 1385 |
+
"step": 1930
|
| 1386 |
+
},
|
| 1387 |
+
{
|
| 1388 |
+
"epoch": 0.6334693877551021,
|
| 1389 |
+
"grad_norm": 1.5884093046188354,
|
| 1390 |
+
"learning_rate": 0.0005,
|
| 1391 |
+
"loss": 3.7234,
|
| 1392 |
+
"step": 1940
|
| 1393 |
+
},
|
| 1394 |
+
{
|
| 1395 |
+
"epoch": 0.636734693877551,
|
| 1396 |
+
"grad_norm": 1.875867486000061,
|
| 1397 |
+
"learning_rate": 0.0005,
|
| 1398 |
+
"loss": 3.7336,
|
| 1399 |
+
"step": 1950
|
| 1400 |
+
},
|
| 1401 |
+
{
|
| 1402 |
+
"epoch": 0.64,
|
| 1403 |
+
"grad_norm": 1.1436996459960938,
|
| 1404 |
+
"learning_rate": 0.0005,
|
| 1405 |
+
"loss": 3.4685,
|
| 1406 |
+
"step": 1960
|
| 1407 |
+
},
|
| 1408 |
+
{
|
| 1409 |
+
"epoch": 0.643265306122449,
|
| 1410 |
+
"grad_norm": 1.4208112955093384,
|
| 1411 |
+
"learning_rate": 0.0005,
|
| 1412 |
+
"loss": 4.0489,
|
| 1413 |
+
"step": 1970
|
| 1414 |
+
},
|
| 1415 |
+
{
|
| 1416 |
+
"epoch": 0.6465306122448979,
|
| 1417 |
+
"grad_norm": 1.3270920515060425,
|
| 1418 |
+
"learning_rate": 0.0005,
|
| 1419 |
+
"loss": 3.8098,
|
| 1420 |
+
"step": 1980
|
| 1421 |
+
},
|
| 1422 |
+
{
|
| 1423 |
+
"epoch": 0.649795918367347,
|
| 1424 |
+
"grad_norm": 1.6381317377090454,
|
| 1425 |
+
"learning_rate": 0.0005,
|
| 1426 |
+
"loss": 3.6228,
|
| 1427 |
+
"step": 1990
|
| 1428 |
+
},
|
| 1429 |
+
{
|
| 1430 |
+
"epoch": 0.6530612244897959,
|
| 1431 |
+
"grad_norm": 2.0222079753875732,
|
| 1432 |
+
"learning_rate": 0.0005,
|
| 1433 |
+
"loss": 3.678,
|
| 1434 |
+
"step": 2000
|
| 1435 |
+
},
|
| 1436 |
+
{
|
| 1437 |
+
"epoch": 0.6530612244897959,
|
| 1438 |
+
"eval_loss": 3.763411521911621,
|
| 1439 |
+
"eval_runtime": 43.2803,
|
| 1440 |
+
"eval_samples_per_second": 46.21,
|
| 1441 |
+
"eval_steps_per_second": 11.553,
|
| 1442 |
+
"step": 2000
|
| 1443 |
+
},
|
| 1444 |
+
{
|
| 1445 |
+
"epoch": 0.6563265306122449,
|
| 1446 |
+
"grad_norm": 1.211680293083191,
|
| 1447 |
+
"learning_rate": 0.0005,
|
| 1448 |
+
"loss": 3.5285,
|
| 1449 |
+
"step": 2010
|
| 1450 |
+
},
|
| 1451 |
+
{
|
| 1452 |
+
"epoch": 0.6595918367346939,
|
| 1453 |
+
"grad_norm": 1.27492094039917,
|
| 1454 |
+
"learning_rate": 0.0005,
|
| 1455 |
+
"loss": 3.977,
|
| 1456 |
+
"step": 2020
|
| 1457 |
+
},
|
| 1458 |
+
{
|
| 1459 |
+
"epoch": 0.6628571428571428,
|
| 1460 |
+
"grad_norm": 1.4437798261642456,
|
| 1461 |
+
"learning_rate": 0.0005,
|
| 1462 |
+
"loss": 3.8207,
|
| 1463 |
+
"step": 2030
|
| 1464 |
+
},
|
| 1465 |
+
{
|
| 1466 |
+
"epoch": 0.6661224489795918,
|
| 1467 |
+
"grad_norm": 1.3550224304199219,
|
| 1468 |
+
"learning_rate": 0.0005,
|
| 1469 |
+
"loss": 3.6058,
|
| 1470 |
+
"step": 2040
|
| 1471 |
+
},
|
| 1472 |
+
{
|
| 1473 |
+
"epoch": 0.6693877551020408,
|
| 1474 |
+
"grad_norm": 2.0937228202819824,
|
| 1475 |
+
"learning_rate": 0.0005,
|
| 1476 |
+
"loss": 3.6986,
|
| 1477 |
+
"step": 2050
|
| 1478 |
+
},
|
| 1479 |
+
{
|
| 1480 |
+
"epoch": 0.6726530612244898,
|
| 1481 |
+
"grad_norm": 1.0755195617675781,
|
| 1482 |
+
"learning_rate": 0.0005,
|
| 1483 |
+
"loss": 3.4733,
|
| 1484 |
+
"step": 2060
|
| 1485 |
+
},
|
| 1486 |
+
{
|
| 1487 |
+
"epoch": 0.6759183673469388,
|
| 1488 |
+
"grad_norm": 1.157943606376648,
|
| 1489 |
+
"learning_rate": 0.0005,
|
| 1490 |
+
"loss": 3.9306,
|
| 1491 |
+
"step": 2070
|
| 1492 |
+
},
|
| 1493 |
+
{
|
| 1494 |
+
"epoch": 0.6791836734693878,
|
| 1495 |
+
"grad_norm": 1.1048219203948975,
|
| 1496 |
+
"learning_rate": 0.0005,
|
| 1497 |
+
"loss": 3.7846,
|
| 1498 |
+
"step": 2080
|
| 1499 |
+
},
|
| 1500 |
+
{
|
| 1501 |
+
"epoch": 0.6824489795918367,
|
| 1502 |
+
"grad_norm": 1.385745882987976,
|
| 1503 |
+
"learning_rate": 0.0005,
|
| 1504 |
+
"loss": 3.804,
|
| 1505 |
+
"step": 2090
|
| 1506 |
+
},
|
| 1507 |
+
{
|
| 1508 |
+
"epoch": 0.6857142857142857,
|
| 1509 |
+
"grad_norm": 1.8955817222595215,
|
| 1510 |
+
"learning_rate": 0.0005,
|
| 1511 |
+
"loss": 3.6585,
|
| 1512 |
+
"step": 2100
|
| 1513 |
+
},
|
| 1514 |
+
{
|
| 1515 |
+
"epoch": 0.6889795918367347,
|
| 1516 |
+
"grad_norm": 1.0233700275421143,
|
| 1517 |
+
"learning_rate": 0.0005,
|
| 1518 |
+
"loss": 3.4444,
|
| 1519 |
+
"step": 2110
|
| 1520 |
+
},
|
| 1521 |
+
{
|
| 1522 |
+
"epoch": 0.6922448979591836,
|
| 1523 |
+
"grad_norm": 1.180027723312378,
|
| 1524 |
+
"learning_rate": 0.0005,
|
| 1525 |
+
"loss": 3.9621,
|
| 1526 |
+
"step": 2120
|
| 1527 |
+
},
|
| 1528 |
+
{
|
| 1529 |
+
"epoch": 0.6955102040816327,
|
| 1530 |
+
"grad_norm": 1.2139476537704468,
|
| 1531 |
+
"learning_rate": 0.0005,
|
| 1532 |
+
"loss": 3.785,
|
| 1533 |
+
"step": 2130
|
| 1534 |
+
},
|
| 1535 |
+
{
|
| 1536 |
+
"epoch": 0.6987755102040817,
|
| 1537 |
+
"grad_norm": 1.285551905632019,
|
| 1538 |
+
"learning_rate": 0.0005,
|
| 1539 |
+
"loss": 3.7749,
|
| 1540 |
+
"step": 2140
|
| 1541 |
+
},
|
| 1542 |
+
{
|
| 1543 |
+
"epoch": 0.7020408163265306,
|
| 1544 |
+
"grad_norm": 1.9963250160217285,
|
| 1545 |
+
"learning_rate": 0.0005,
|
| 1546 |
+
"loss": 3.6162,
|
| 1547 |
+
"step": 2150
|
| 1548 |
+
},
|
| 1549 |
+
{
|
| 1550 |
+
"epoch": 0.7053061224489796,
|
| 1551 |
+
"grad_norm": 1.216117262840271,
|
| 1552 |
+
"learning_rate": 0.0005,
|
| 1553 |
+
"loss": 3.5505,
|
| 1554 |
+
"step": 2160
|
| 1555 |
+
},
|
| 1556 |
+
{
|
| 1557 |
+
"epoch": 0.7085714285714285,
|
| 1558 |
+
"grad_norm": 1.181820034980774,
|
| 1559 |
+
"learning_rate": 0.0005,
|
| 1560 |
+
"loss": 4.0493,
|
| 1561 |
+
"step": 2170
|
| 1562 |
+
},
|
| 1563 |
+
{
|
| 1564 |
+
"epoch": 0.7118367346938775,
|
| 1565 |
+
"grad_norm": 1.181449294090271,
|
| 1566 |
+
"learning_rate": 0.0005,
|
| 1567 |
+
"loss": 3.7653,
|
| 1568 |
+
"step": 2180
|
| 1569 |
+
},
|
| 1570 |
+
{
|
| 1571 |
+
"epoch": 0.7151020408163266,
|
| 1572 |
+
"grad_norm": 1.350578784942627,
|
| 1573 |
+
"learning_rate": 0.0005,
|
| 1574 |
+
"loss": 3.7466,
|
| 1575 |
+
"step": 2190
|
| 1576 |
+
},
|
| 1577 |
+
{
|
| 1578 |
+
"epoch": 0.7183673469387755,
|
| 1579 |
+
"grad_norm": 2.2694125175476074,
|
| 1580 |
+
"learning_rate": 0.0005,
|
| 1581 |
+
"loss": 3.6147,
|
| 1582 |
+
"step": 2200
|
| 1583 |
+
},
|
| 1584 |
+
{
|
| 1585 |
+
"epoch": 0.7216326530612245,
|
| 1586 |
+
"grad_norm": 1.4255095720291138,
|
| 1587 |
+
"learning_rate": 0.0005,
|
| 1588 |
+
"loss": 3.5044,
|
| 1589 |
+
"step": 2210
|
| 1590 |
+
},
|
| 1591 |
+
{
|
| 1592 |
+
"epoch": 0.7248979591836735,
|
| 1593 |
+
"grad_norm": 1.037293791770935,
|
| 1594 |
+
"learning_rate": 0.0005,
|
| 1595 |
+
"loss": 3.8757,
|
| 1596 |
+
"step": 2220
|
| 1597 |
+
},
|
| 1598 |
+
{
|
| 1599 |
+
"epoch": 0.7281632653061224,
|
| 1600 |
+
"grad_norm": 1.4334427118301392,
|
| 1601 |
+
"learning_rate": 0.0005,
|
| 1602 |
+
"loss": 3.856,
|
| 1603 |
+
"step": 2230
|
| 1604 |
+
},
|
| 1605 |
+
{
|
| 1606 |
+
"epoch": 0.7314285714285714,
|
| 1607 |
+
"grad_norm": 1.3529642820358276,
|
| 1608 |
+
"learning_rate": 0.0005,
|
| 1609 |
+
"loss": 3.6443,
|
| 1610 |
+
"step": 2240
|
| 1611 |
+
},
|
| 1612 |
+
{
|
| 1613 |
+
"epoch": 0.7346938775510204,
|
| 1614 |
+
"grad_norm": 2.0167791843414307,
|
| 1615 |
+
"learning_rate": 0.0005,
|
| 1616 |
+
"loss": 3.6821,
|
| 1617 |
+
"step": 2250
|
| 1618 |
+
},
|
| 1619 |
+
{
|
| 1620 |
+
"epoch": 0.7379591836734694,
|
| 1621 |
+
"grad_norm": 1.011146068572998,
|
| 1622 |
+
"learning_rate": 0.0005,
|
| 1623 |
+
"loss": 3.2779,
|
| 1624 |
+
"step": 2260
|
| 1625 |
+
},
|
| 1626 |
+
{
|
| 1627 |
+
"epoch": 0.7412244897959184,
|
| 1628 |
+
"grad_norm": 1.0214072465896606,
|
| 1629 |
+
"learning_rate": 0.0005,
|
| 1630 |
+
"loss": 3.8809,
|
| 1631 |
+
"step": 2270
|
| 1632 |
+
},
|
| 1633 |
+
{
|
| 1634 |
+
"epoch": 0.7444897959183674,
|
| 1635 |
+
"grad_norm": 1.3080716133117676,
|
| 1636 |
+
"learning_rate": 0.0005,
|
| 1637 |
+
"loss": 3.7988,
|
| 1638 |
+
"step": 2280
|
| 1639 |
+
},
|
| 1640 |
+
{
|
| 1641 |
+
"epoch": 0.7477551020408163,
|
| 1642 |
+
"grad_norm": 1.4071499109268188,
|
| 1643 |
+
"learning_rate": 0.0005,
|
| 1644 |
+
"loss": 3.7096,
|
| 1645 |
+
"step": 2290
|
| 1646 |
+
},
|
| 1647 |
+
{
|
| 1648 |
+
"epoch": 0.7510204081632653,
|
| 1649 |
+
"grad_norm": 2.372915744781494,
|
| 1650 |
+
"learning_rate": 0.0005,
|
| 1651 |
+
"loss": 3.6902,
|
| 1652 |
+
"step": 2300
|
| 1653 |
+
},
|
| 1654 |
+
{
|
| 1655 |
+
"epoch": 0.7542857142857143,
|
| 1656 |
+
"grad_norm": 1.1310540437698364,
|
| 1657 |
+
"learning_rate": 0.0005,
|
| 1658 |
+
"loss": 3.5033,
|
| 1659 |
+
"step": 2310
|
| 1660 |
+
},
|
| 1661 |
+
{
|
| 1662 |
+
"epoch": 0.7575510204081632,
|
| 1663 |
+
"grad_norm": 1.1746577024459839,
|
| 1664 |
+
"learning_rate": 0.0005,
|
| 1665 |
+
"loss": 3.9845,
|
| 1666 |
+
"step": 2320
|
| 1667 |
+
},
|
| 1668 |
+
{
|
| 1669 |
+
"epoch": 0.7608163265306123,
|
| 1670 |
+
"grad_norm": 1.3103886842727661,
|
| 1671 |
+
"learning_rate": 0.0005,
|
| 1672 |
+
"loss": 3.7691,
|
| 1673 |
+
"step": 2330
|
| 1674 |
+
},
|
| 1675 |
+
{
|
| 1676 |
+
"epoch": 0.7640816326530612,
|
| 1677 |
+
"grad_norm": 1.3824633359909058,
|
| 1678 |
+
"learning_rate": 0.0005,
|
| 1679 |
+
"loss": 3.5941,
|
| 1680 |
+
"step": 2340
|
| 1681 |
+
},
|
| 1682 |
+
{
|
| 1683 |
+
"epoch": 0.7673469387755102,
|
| 1684 |
+
"grad_norm": 2.100325345993042,
|
| 1685 |
+
"learning_rate": 0.0005,
|
| 1686 |
+
"loss": 3.6041,
|
| 1687 |
+
"step": 2350
|
| 1688 |
+
},
|
| 1689 |
+
{
|
| 1690 |
+
"epoch": 0.7706122448979592,
|
| 1691 |
+
"grad_norm": 1.1913516521453857,
|
| 1692 |
+
"learning_rate": 0.0005,
|
| 1693 |
+
"loss": 3.3779,
|
| 1694 |
+
"step": 2360
|
| 1695 |
+
},
|
| 1696 |
+
{
|
| 1697 |
+
"epoch": 0.7738775510204081,
|
| 1698 |
+
"grad_norm": 0.9938827753067017,
|
| 1699 |
+
"learning_rate": 0.0005,
|
| 1700 |
+
"loss": 3.8768,
|
| 1701 |
+
"step": 2370
|
| 1702 |
+
},
|
| 1703 |
+
{
|
| 1704 |
+
"epoch": 0.7771428571428571,
|
| 1705 |
+
"grad_norm": 1.2203476428985596,
|
| 1706 |
+
"learning_rate": 0.0005,
|
| 1707 |
+
"loss": 3.6631,
|
| 1708 |
+
"step": 2380
|
| 1709 |
+
},
|
| 1710 |
+
{
|
| 1711 |
+
"epoch": 0.7804081632653062,
|
| 1712 |
+
"grad_norm": 1.2797229290008545,
|
| 1713 |
+
"learning_rate": 0.0005,
|
| 1714 |
+
"loss": 3.682,
|
| 1715 |
+
"step": 2390
|
| 1716 |
+
},
|
| 1717 |
+
{
|
| 1718 |
+
"epoch": 0.7836734693877551,
|
| 1719 |
+
"grad_norm": 1.820462703704834,
|
| 1720 |
+
"learning_rate": 0.0005,
|
| 1721 |
+
"loss": 3.63,
|
| 1722 |
+
"step": 2400
|
| 1723 |
+
},
|
| 1724 |
+
{
|
| 1725 |
+
"epoch": 0.7869387755102041,
|
| 1726 |
+
"grad_norm": 1.147829532623291,
|
| 1727 |
+
"learning_rate": 0.0005,
|
| 1728 |
+
"loss": 3.3512,
|
| 1729 |
+
"step": 2410
|
| 1730 |
+
},
|
| 1731 |
+
{
|
| 1732 |
+
"epoch": 0.7902040816326531,
|
| 1733 |
+
"grad_norm": 1.2591899633407593,
|
| 1734 |
+
"learning_rate": 0.0005,
|
| 1735 |
+
"loss": 3.8567,
|
| 1736 |
+
"step": 2420
|
| 1737 |
+
},
|
| 1738 |
+
{
|
| 1739 |
+
"epoch": 0.793469387755102,
|
| 1740 |
+
"grad_norm": 1.2597836256027222,
|
| 1741 |
+
"learning_rate": 0.0005,
|
| 1742 |
+
"loss": 3.7401,
|
| 1743 |
+
"step": 2430
|
| 1744 |
+
},
|
| 1745 |
+
{
|
| 1746 |
+
"epoch": 0.796734693877551,
|
| 1747 |
+
"grad_norm": 1.3258607387542725,
|
| 1748 |
+
"learning_rate": 0.0005,
|
| 1749 |
+
"loss": 3.5487,
|
| 1750 |
+
"step": 2440
|
| 1751 |
+
},
|
| 1752 |
+
{
|
| 1753 |
+
"epoch": 0.8,
|
| 1754 |
+
"grad_norm": 2.17008376121521,
|
| 1755 |
+
"learning_rate": 0.0005,
|
| 1756 |
+
"loss": 3.5872,
|
| 1757 |
+
"step": 2450
|
| 1758 |
+
},
|
| 1759 |
+
{
|
| 1760 |
+
"epoch": 0.803265306122449,
|
| 1761 |
+
"grad_norm": 1.0918580293655396,
|
| 1762 |
+
"learning_rate": 0.0005,
|
| 1763 |
+
"loss": 3.3497,
|
| 1764 |
+
"step": 2460
|
| 1765 |
+
},
|
| 1766 |
+
{
|
| 1767 |
+
"epoch": 0.806530612244898,
|
| 1768 |
+
"grad_norm": 1.1970785856246948,
|
| 1769 |
+
"learning_rate": 0.0005,
|
| 1770 |
+
"loss": 3.9383,
|
| 1771 |
+
"step": 2470
|
| 1772 |
+
},
|
| 1773 |
+
{
|
| 1774 |
+
"epoch": 0.809795918367347,
|
| 1775 |
+
"grad_norm": 1.2330458164215088,
|
| 1776 |
+
"learning_rate": 0.0005,
|
| 1777 |
+
"loss": 3.7035,
|
| 1778 |
+
"step": 2480
|
| 1779 |
+
},
|
| 1780 |
+
{
|
| 1781 |
+
"epoch": 0.8130612244897959,
|
| 1782 |
+
"grad_norm": 1.3976151943206787,
|
| 1783 |
+
"learning_rate": 0.0005,
|
| 1784 |
+
"loss": 3.6041,
|
| 1785 |
+
"step": 2490
|
| 1786 |
+
},
|
| 1787 |
+
{
|
| 1788 |
+
"epoch": 0.8163265306122449,
|
| 1789 |
+
"grad_norm": 1.8973948955535889,
|
| 1790 |
+
"learning_rate": 0.0005,
|
| 1791 |
+
"loss": 3.5651,
|
| 1792 |
+
"step": 2500
|
| 1793 |
+
},
|
| 1794 |
+
{
|
| 1795 |
+
"epoch": 0.8163265306122449,
|
| 1796 |
+
"eval_loss": 3.65913724899292,
|
| 1797 |
+
"eval_runtime": 42.7312,
|
| 1798 |
+
"eval_samples_per_second": 46.804,
|
| 1799 |
+
"eval_steps_per_second": 11.701,
|
| 1800 |
+
"step": 2500
|
| 1801 |
+
},
|
| 1802 |
+
{
|
| 1803 |
+
"epoch": 0.8195918367346938,
|
| 1804 |
+
"grad_norm": 1.126738429069519,
|
| 1805 |
+
"learning_rate": 0.0005,
|
| 1806 |
+
"loss": 3.3749,
|
| 1807 |
+
"step": 2510
|
| 1808 |
+
},
|
| 1809 |
+
{
|
| 1810 |
+
"epoch": 0.8228571428571428,
|
| 1811 |
+
"grad_norm": 1.2251478433609009,
|
| 1812 |
+
"learning_rate": 0.0005,
|
| 1813 |
+
"loss": 3.884,
|
| 1814 |
+
"step": 2520
|
| 1815 |
+
},
|
| 1816 |
+
{
|
| 1817 |
+
"epoch": 0.8261224489795919,
|
| 1818 |
+
"grad_norm": 1.219794750213623,
|
| 1819 |
+
"learning_rate": 0.0005,
|
| 1820 |
+
"loss": 3.6404,
|
| 1821 |
+
"step": 2530
|
| 1822 |
+
},
|
| 1823 |
+
{
|
| 1824 |
+
"epoch": 0.8293877551020408,
|
| 1825 |
+
"grad_norm": 1.3533365726470947,
|
| 1826 |
+
"learning_rate": 0.0005,
|
| 1827 |
+
"loss": 3.5655,
|
| 1828 |
+
"step": 2540
|
| 1829 |
+
},
|
| 1830 |
+
{
|
| 1831 |
+
"epoch": 0.8326530612244898,
|
| 1832 |
+
"grad_norm": 1.7649017572402954,
|
| 1833 |
+
"learning_rate": 0.0005,
|
| 1834 |
+
"loss": 3.6185,
|
| 1835 |
+
"step": 2550
|
| 1836 |
+
},
|
| 1837 |
+
{
|
| 1838 |
+
"epoch": 0.8359183673469388,
|
| 1839 |
+
"grad_norm": 1.0244803428649902,
|
| 1840 |
+
"learning_rate": 0.0005,
|
| 1841 |
+
"loss": 3.4428,
|
| 1842 |
+
"step": 2560
|
| 1843 |
+
},
|
| 1844 |
+
{
|
| 1845 |
+
"epoch": 0.8391836734693877,
|
| 1846 |
+
"grad_norm": 1.3756012916564941,
|
| 1847 |
+
"learning_rate": 0.0005,
|
| 1848 |
+
"loss": 3.8133,
|
| 1849 |
+
"step": 2570
|
| 1850 |
+
},
|
| 1851 |
+
{
|
| 1852 |
+
"epoch": 0.8424489795918367,
|
| 1853 |
+
"grad_norm": 1.4523794651031494,
|
| 1854 |
+
"learning_rate": 0.0005,
|
| 1855 |
+
"loss": 3.6916,
|
| 1856 |
+
"step": 2580
|
| 1857 |
+
},
|
| 1858 |
+
{
|
| 1859 |
+
"epoch": 0.8457142857142858,
|
| 1860 |
+
"grad_norm": 1.4527126550674438,
|
| 1861 |
+
"learning_rate": 0.0005,
|
| 1862 |
+
"loss": 3.5812,
|
| 1863 |
+
"step": 2590
|
| 1864 |
+
},
|
| 1865 |
+
{
|
| 1866 |
+
"epoch": 0.8489795918367347,
|
| 1867 |
+
"grad_norm": 1.7975162267684937,
|
| 1868 |
+
"learning_rate": 0.0005,
|
| 1869 |
+
"loss": 3.6506,
|
| 1870 |
+
"step": 2600
|
| 1871 |
+
},
|
| 1872 |
+
{
|
| 1873 |
+
"epoch": 0.8522448979591837,
|
| 1874 |
+
"grad_norm": 1.29179048538208,
|
| 1875 |
+
"learning_rate": 0.0005,
|
| 1876 |
+
"loss": 3.4787,
|
| 1877 |
+
"step": 2610
|
| 1878 |
+
},
|
| 1879 |
+
{
|
| 1880 |
+
"epoch": 0.8555102040816327,
|
| 1881 |
+
"grad_norm": 1.2570093870162964,
|
| 1882 |
+
"learning_rate": 0.0005,
|
| 1883 |
+
"loss": 3.933,
|
| 1884 |
+
"step": 2620
|
| 1885 |
+
},
|
| 1886 |
+
{
|
| 1887 |
+
"epoch": 0.8587755102040816,
|
| 1888 |
+
"grad_norm": 1.350013017654419,
|
| 1889 |
+
"learning_rate": 0.0005,
|
| 1890 |
+
"loss": 3.6734,
|
| 1891 |
+
"step": 2630
|
| 1892 |
+
},
|
| 1893 |
+
{
|
| 1894 |
+
"epoch": 0.8620408163265306,
|
| 1895 |
+
"grad_norm": 1.4130898714065552,
|
| 1896 |
+
"learning_rate": 0.0005,
|
| 1897 |
+
"loss": 3.4979,
|
| 1898 |
+
"step": 2640
|
| 1899 |
+
},
|
| 1900 |
+
{
|
| 1901 |
+
"epoch": 0.8653061224489796,
|
| 1902 |
+
"grad_norm": 2.0199756622314453,
|
| 1903 |
+
"learning_rate": 0.0005,
|
| 1904 |
+
"loss": 3.5747,
|
| 1905 |
+
"step": 2650
|
| 1906 |
+
},
|
| 1907 |
+
{
|
| 1908 |
+
"epoch": 0.8685714285714285,
|
| 1909 |
+
"grad_norm": 1.0159718990325928,
|
| 1910 |
+
"learning_rate": 0.0005,
|
| 1911 |
+
"loss": 3.4062,
|
| 1912 |
+
"step": 2660
|
| 1913 |
+
},
|
| 1914 |
+
{
|
| 1915 |
+
"epoch": 0.8718367346938776,
|
| 1916 |
+
"grad_norm": 1.2518935203552246,
|
| 1917 |
+
"learning_rate": 0.0005,
|
| 1918 |
+
"loss": 3.7682,
|
| 1919 |
+
"step": 2670
|
| 1920 |
+
},
|
| 1921 |
+
{
|
| 1922 |
+
"epoch": 0.8751020408163265,
|
| 1923 |
+
"grad_norm": 1.2634557485580444,
|
| 1924 |
+
"learning_rate": 0.0005,
|
| 1925 |
+
"loss": 3.7365,
|
| 1926 |
+
"step": 2680
|
| 1927 |
+
},
|
| 1928 |
+
{
|
| 1929 |
+
"epoch": 0.8783673469387755,
|
| 1930 |
+
"grad_norm": 1.2956312894821167,
|
| 1931 |
+
"learning_rate": 0.0005,
|
| 1932 |
+
"loss": 3.6749,
|
| 1933 |
+
"step": 2690
|
| 1934 |
+
},
|
| 1935 |
+
{
|
| 1936 |
+
"epoch": 0.8816326530612245,
|
| 1937 |
+
"grad_norm": 1.8405163288116455,
|
| 1938 |
+
"learning_rate": 0.0005,
|
| 1939 |
+
"loss": 3.5182,
|
| 1940 |
+
"step": 2700
|
| 1941 |
+
},
|
| 1942 |
+
{
|
| 1943 |
+
"epoch": 0.8848979591836734,
|
| 1944 |
+
"grad_norm": 1.1379750967025757,
|
| 1945 |
+
"learning_rate": 0.0005,
|
| 1946 |
+
"loss": 3.376,
|
| 1947 |
+
"step": 2710
|
| 1948 |
+
},
|
| 1949 |
+
{
|
| 1950 |
+
"epoch": 0.8881632653061224,
|
| 1951 |
+
"grad_norm": 1.3452417850494385,
|
| 1952 |
+
"learning_rate": 0.0005,
|
| 1953 |
+
"loss": 3.8657,
|
| 1954 |
+
"step": 2720
|
| 1955 |
+
},
|
| 1956 |
+
{
|
| 1957 |
+
"epoch": 0.8914285714285715,
|
| 1958 |
+
"grad_norm": 1.1698819398880005,
|
| 1959 |
+
"learning_rate": 0.0005,
|
| 1960 |
+
"loss": 3.633,
|
| 1961 |
+
"step": 2730
|
| 1962 |
+
},
|
| 1963 |
+
{
|
| 1964 |
+
"epoch": 0.8946938775510204,
|
| 1965 |
+
"grad_norm": 1.42051100730896,
|
| 1966 |
+
"learning_rate": 0.0005,
|
| 1967 |
+
"loss": 3.5665,
|
| 1968 |
+
"step": 2740
|
| 1969 |
+
},
|
| 1970 |
+
{
|
| 1971 |
+
"epoch": 0.8979591836734694,
|
| 1972 |
+
"grad_norm": 1.9082551002502441,
|
| 1973 |
+
"learning_rate": 0.0005,
|
| 1974 |
+
"loss": 3.5884,
|
| 1975 |
+
"step": 2750
|
| 1976 |
+
},
|
| 1977 |
+
{
|
| 1978 |
+
"epoch": 0.9012244897959184,
|
| 1979 |
+
"grad_norm": 1.3937710523605347,
|
| 1980 |
+
"learning_rate": 0.0005,
|
| 1981 |
+
"loss": 3.3543,
|
| 1982 |
+
"step": 2760
|
| 1983 |
+
},
|
| 1984 |
+
{
|
| 1985 |
+
"epoch": 0.9044897959183673,
|
| 1986 |
+
"grad_norm": 1.2848858833312988,
|
| 1987 |
+
"learning_rate": 0.0005,
|
| 1988 |
+
"loss": 3.8298,
|
| 1989 |
+
"step": 2770
|
| 1990 |
+
},
|
| 1991 |
+
{
|
| 1992 |
+
"epoch": 0.9077551020408163,
|
| 1993 |
+
"grad_norm": 1.2677395343780518,
|
| 1994 |
+
"learning_rate": 0.0005,
|
| 1995 |
+
"loss": 3.6608,
|
| 1996 |
+
"step": 2780
|
| 1997 |
+
},
|
| 1998 |
+
{
|
| 1999 |
+
"epoch": 0.9110204081632653,
|
| 2000 |
+
"grad_norm": 1.372312307357788,
|
| 2001 |
+
"learning_rate": 0.0005,
|
| 2002 |
+
"loss": 3.5296,
|
| 2003 |
+
"step": 2790
|
| 2004 |
+
},
|
| 2005 |
+
{
|
| 2006 |
+
"epoch": 0.9142857142857143,
|
| 2007 |
+
"grad_norm": 1.928770899772644,
|
| 2008 |
+
"learning_rate": 0.0005,
|
| 2009 |
+
"loss": 3.5219,
|
| 2010 |
+
"step": 2800
|
| 2011 |
+
},
|
| 2012 |
+
{
|
| 2013 |
+
"epoch": 0.9175510204081633,
|
| 2014 |
+
"grad_norm": 1.1431926488876343,
|
| 2015 |
+
"learning_rate": 0.0005,
|
| 2016 |
+
"loss": 3.3378,
|
| 2017 |
+
"step": 2810
|
| 2018 |
+
},
|
| 2019 |
+
{
|
| 2020 |
+
"epoch": 0.9208163265306123,
|
| 2021 |
+
"grad_norm": 1.5195988416671753,
|
| 2022 |
+
"learning_rate": 0.0005,
|
| 2023 |
+
"loss": 3.8191,
|
| 2024 |
+
"step": 2820
|
| 2025 |
+
},
|
| 2026 |
+
{
|
| 2027 |
+
"epoch": 0.9240816326530612,
|
| 2028 |
+
"grad_norm": 1.3690383434295654,
|
| 2029 |
+
"learning_rate": 0.0005,
|
| 2030 |
+
"loss": 3.5557,
|
| 2031 |
+
"step": 2830
|
| 2032 |
+
},
|
| 2033 |
+
{
|
| 2034 |
+
"epoch": 0.9273469387755102,
|
| 2035 |
+
"grad_norm": 1.473240852355957,
|
| 2036 |
+
"learning_rate": 0.0005,
|
| 2037 |
+
"loss": 3.5422,
|
| 2038 |
+
"step": 2840
|
| 2039 |
+
},
|
| 2040 |
+
{
|
| 2041 |
+
"epoch": 0.9306122448979591,
|
| 2042 |
+
"grad_norm": 2.0330464839935303,
|
| 2043 |
+
"learning_rate": 0.0005,
|
| 2044 |
+
"loss": 3.6382,
|
| 2045 |
+
"step": 2850
|
| 2046 |
+
},
|
| 2047 |
+
{
|
| 2048 |
+
"epoch": 0.9338775510204081,
|
| 2049 |
+
"grad_norm": 1.0458343029022217,
|
| 2050 |
+
"learning_rate": 0.0005,
|
| 2051 |
+
"loss": 3.3883,
|
| 2052 |
+
"step": 2860
|
| 2053 |
+
},
|
| 2054 |
+
{
|
| 2055 |
+
"epoch": 0.9371428571428572,
|
| 2056 |
+
"grad_norm": 1.1635581254959106,
|
| 2057 |
+
"learning_rate": 0.0005,
|
| 2058 |
+
"loss": 3.8158,
|
| 2059 |
+
"step": 2870
|
| 2060 |
+
},
|
| 2061 |
+
{
|
| 2062 |
+
"epoch": 0.9404081632653061,
|
| 2063 |
+
"grad_norm": 1.3448679447174072,
|
| 2064 |
+
"learning_rate": 0.0005,
|
| 2065 |
+
"loss": 3.6389,
|
| 2066 |
+
"step": 2880
|
| 2067 |
+
},
|
| 2068 |
+
{
|
| 2069 |
+
"epoch": 0.9436734693877551,
|
| 2070 |
+
"grad_norm": 1.3173009157180786,
|
| 2071 |
+
"learning_rate": 0.0005,
|
| 2072 |
+
"loss": 3.5386,
|
| 2073 |
+
"step": 2890
|
| 2074 |
+
},
|
| 2075 |
+
{
|
| 2076 |
+
"epoch": 0.9469387755102041,
|
| 2077 |
+
"grad_norm": 2.144378662109375,
|
| 2078 |
+
"learning_rate": 0.0005,
|
| 2079 |
+
"loss": 3.5892,
|
| 2080 |
+
"step": 2900
|
| 2081 |
+
},
|
| 2082 |
+
{
|
| 2083 |
+
"epoch": 0.950204081632653,
|
| 2084 |
+
"grad_norm": 1.1590373516082764,
|
| 2085 |
+
"learning_rate": 0.0005,
|
| 2086 |
+
"loss": 3.397,
|
| 2087 |
+
"step": 2910
|
| 2088 |
+
},
|
| 2089 |
+
{
|
| 2090 |
+
"epoch": 0.953469387755102,
|
| 2091 |
+
"grad_norm": 1.253893494606018,
|
| 2092 |
+
"learning_rate": 0.0005,
|
| 2093 |
+
"loss": 3.8054,
|
| 2094 |
+
"step": 2920
|
| 2095 |
+
},
|
| 2096 |
+
{
|
| 2097 |
+
"epoch": 0.9567346938775511,
|
| 2098 |
+
"grad_norm": 1.215649962425232,
|
| 2099 |
+
"learning_rate": 0.0005,
|
| 2100 |
+
"loss": 3.612,
|
| 2101 |
+
"step": 2930
|
| 2102 |
+
},
|
| 2103 |
+
{
|
| 2104 |
+
"epoch": 0.96,
|
| 2105 |
+
"grad_norm": 1.4085159301757812,
|
| 2106 |
+
"learning_rate": 0.0005,
|
| 2107 |
+
"loss": 3.5056,
|
| 2108 |
+
"step": 2940
|
| 2109 |
+
},
|
| 2110 |
+
{
|
| 2111 |
+
"epoch": 0.963265306122449,
|
| 2112 |
+
"grad_norm": 1.908341646194458,
|
| 2113 |
+
"learning_rate": 0.0005,
|
| 2114 |
+
"loss": 3.4516,
|
| 2115 |
+
"step": 2950
|
| 2116 |
+
},
|
| 2117 |
+
{
|
| 2118 |
+
"epoch": 0.966530612244898,
|
| 2119 |
+
"grad_norm": 1.1971689462661743,
|
| 2120 |
+
"learning_rate": 0.0005,
|
| 2121 |
+
"loss": 3.3546,
|
| 2122 |
+
"step": 2960
|
| 2123 |
+
},
|
| 2124 |
+
{
|
| 2125 |
+
"epoch": 0.9697959183673469,
|
| 2126 |
+
"grad_norm": 1.2646092176437378,
|
| 2127 |
+
"learning_rate": 0.0005,
|
| 2128 |
+
"loss": 3.8237,
|
| 2129 |
+
"step": 2970
|
| 2130 |
+
},
|
| 2131 |
+
{
|
| 2132 |
+
"epoch": 0.9730612244897959,
|
| 2133 |
+
"grad_norm": 1.3261162042617798,
|
| 2134 |
+
"learning_rate": 0.0005,
|
| 2135 |
+
"loss": 3.6123,
|
| 2136 |
+
"step": 2980
|
| 2137 |
+
},
|
| 2138 |
+
{
|
| 2139 |
+
"epoch": 0.976326530612245,
|
| 2140 |
+
"grad_norm": 1.4025673866271973,
|
| 2141 |
+
"learning_rate": 0.0005,
|
| 2142 |
+
"loss": 3.5225,
|
| 2143 |
+
"step": 2990
|
| 2144 |
+
},
|
| 2145 |
+
{
|
| 2146 |
+
"epoch": 0.9795918367346939,
|
| 2147 |
+
"grad_norm": 1.9254060983657837,
|
| 2148 |
+
"learning_rate": 0.0005,
|
| 2149 |
+
"loss": 3.5353,
|
| 2150 |
+
"step": 3000
|
| 2151 |
+
},
|
| 2152 |
+
{
|
| 2153 |
+
"epoch": 0.9795918367346939,
|
| 2154 |
+
"eval_loss": 3.575631618499756,
|
| 2155 |
+
"eval_runtime": 42.8247,
|
| 2156 |
+
"eval_samples_per_second": 46.702,
|
| 2157 |
+
"eval_steps_per_second": 11.675,
|
| 2158 |
+
"step": 3000
|
| 2159 |
+
},
|
| 2160 |
+
{
|
| 2161 |
+
"epoch": 0.9828571428571429,
|
| 2162 |
+
"grad_norm": 1.1695542335510254,
|
| 2163 |
+
"learning_rate": 0.0005,
|
| 2164 |
+
"loss": 3.1419,
|
| 2165 |
+
"step": 3010
|
| 2166 |
+
},
|
| 2167 |
+
{
|
| 2168 |
+
"epoch": 0.9861224489795918,
|
| 2169 |
+
"grad_norm": 1.1839579343795776,
|
| 2170 |
+
"learning_rate": 0.0005,
|
| 2171 |
+
"loss": 3.7104,
|
| 2172 |
+
"step": 3020
|
| 2173 |
+
},
|
| 2174 |
+
{
|
| 2175 |
+
"epoch": 0.9893877551020408,
|
| 2176 |
+
"grad_norm": 1.3528823852539062,
|
| 2177 |
+
"learning_rate": 0.0005,
|
| 2178 |
+
"loss": 3.6772,
|
| 2179 |
+
"step": 3030
|
| 2180 |
+
},
|
| 2181 |
+
{
|
| 2182 |
+
"epoch": 0.9926530612244898,
|
| 2183 |
+
"grad_norm": 1.42439603805542,
|
| 2184 |
+
"learning_rate": 0.0005,
|
| 2185 |
+
"loss": 3.544,
|
| 2186 |
+
"step": 3040
|
| 2187 |
+
},
|
| 2188 |
+
{
|
| 2189 |
+
"epoch": 0.9959183673469387,
|
| 2190 |
+
"grad_norm": 2.387221574783325,
|
| 2191 |
+
"learning_rate": 0.0005,
|
| 2192 |
+
"loss": 3.536,
|
| 2193 |
+
"step": 3050
|
| 2194 |
+
},
|
| 2195 |
+
{
|
| 2196 |
+
"epoch": 0.9991836734693877,
|
| 2197 |
+
"grad_norm": 1.4861875772476196,
|
| 2198 |
+
"learning_rate": 0.0005,
|
| 2199 |
+
"loss": 3.5749,
|
| 2200 |
+
"step": 3060
|
| 2201 |
+
}
|
| 2202 |
+
],
|
| 2203 |
+
"logging_steps": 10,
|
| 2204 |
+
"max_steps": 3063,
|
| 2205 |
+
"num_input_tokens_seen": 0,
|
| 2206 |
+
"num_train_epochs": 1,
|
| 2207 |
+
"save_steps": 500,
|
| 2208 |
+
"stateful_callbacks": {
|
| 2209 |
+
"TrainerControl": {
|
| 2210 |
+
"args": {
|
| 2211 |
+
"should_epoch_stop": false,
|
| 2212 |
+
"should_evaluate": false,
|
| 2213 |
+
"should_log": false,
|
| 2214 |
+
"should_save": true,
|
| 2215 |
+
"should_training_stop": true
|
| 2216 |
+
},
|
| 2217 |
+
"attributes": {}
|
| 2218 |
+
}
|
| 2219 |
+
},
|
| 2220 |
+
"total_flos": 28910317824000.0,
|
| 2221 |
+
"train_batch_size": 8,
|
| 2222 |
+
"trial_name": null,
|
| 2223 |
+
"trial_params": null
|
| 2224 |
+
}
|
vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|