Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- added_tokens.json +26 -0
- all_results.json +8 -0
- chat_template.jinja +54 -0
- config.json +29 -0
- generation_config.json +6 -0
- merges.txt +0 -0
- model-00001-of-00004.safetensors +3 -0
- model-00002-of-00004.safetensors +3 -0
- model-00003-of-00004.safetensors +3 -0
- model-00004-of-00004.safetensors +3 -0
- model.safetensors.index.json +346 -0
- special_tokens_map.json +20 -0
- tokenizer.json +3 -0
- tokenizer_config.json +213 -0
- train_results.json +8 -0
- trainer_log.jsonl +76 -0
- trainer_state.json +568 -0
- training_args.bin +3 -0
- training_loss.png +0 -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 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"</EF>": 151666,
|
| 3 |
+
"</tool_call>": 151658,
|
| 4 |
+
"<EF>": 151665,
|
| 5 |
+
"<tool_call>": 151657,
|
| 6 |
+
"<|box_end|>": 151649,
|
| 7 |
+
"<|box_start|>": 151648,
|
| 8 |
+
"<|endoftext|>": 151643,
|
| 9 |
+
"<|file_sep|>": 151664,
|
| 10 |
+
"<|fim_middle|>": 151660,
|
| 11 |
+
"<|fim_pad|>": 151662,
|
| 12 |
+
"<|fim_prefix|>": 151659,
|
| 13 |
+
"<|fim_suffix|>": 151661,
|
| 14 |
+
"<|im_end|>": 151645,
|
| 15 |
+
"<|im_start|>": 151644,
|
| 16 |
+
"<|image_pad|>": 151655,
|
| 17 |
+
"<|object_ref_end|>": 151647,
|
| 18 |
+
"<|object_ref_start|>": 151646,
|
| 19 |
+
"<|quad_end|>": 151651,
|
| 20 |
+
"<|quad_start|>": 151650,
|
| 21 |
+
"<|repo_name|>": 151663,
|
| 22 |
+
"<|video_pad|>": 151656,
|
| 23 |
+
"<|vision_end|>": 151653,
|
| 24 |
+
"<|vision_pad|>": 151654,
|
| 25 |
+
"<|vision_start|>": 151652
|
| 26 |
+
}
|
all_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 1.0,
|
| 3 |
+
"total_flos": 9.514760021422899e+17,
|
| 4 |
+
"train_loss": 0.5942036323547363,
|
| 5 |
+
"train_runtime": 26089.1141,
|
| 6 |
+
"train_samples_per_second": 14.701,
|
| 7 |
+
"train_steps_per_second": 0.029
|
| 8 |
+
}
|
chat_template.jinja
ADDED
|
@@ -0,0 +1,54 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- if tools %}
|
| 2 |
+
{{- '<|im_start|>system\n' }}
|
| 3 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 4 |
+
{{- messages[0]['content'] }}
|
| 5 |
+
{%- else %}
|
| 6 |
+
{{- 'You are a helpful assistant.' }}
|
| 7 |
+
{%- endif %}
|
| 8 |
+
{{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
|
| 9 |
+
{%- for tool in tools %}
|
| 10 |
+
{{- "\n" }}
|
| 11 |
+
{{- tool | tojson }}
|
| 12 |
+
{%- endfor %}
|
| 13 |
+
{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
|
| 14 |
+
{%- else %}
|
| 15 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 16 |
+
{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
|
| 17 |
+
{%- else %}
|
| 18 |
+
{{- '<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n' }}
|
| 19 |
+
{%- endif %}
|
| 20 |
+
{%- endif %}
|
| 21 |
+
{%- for message in messages %}
|
| 22 |
+
{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
|
| 23 |
+
{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
|
| 24 |
+
{%- elif message.role == "assistant" %}
|
| 25 |
+
{{- '<|im_start|>' + message.role }}
|
| 26 |
+
{%- if message.content %}
|
| 27 |
+
{{- '\n' + message.content }}
|
| 28 |
+
{%- endif %}
|
| 29 |
+
{%- for tool_call in message.tool_calls %}
|
| 30 |
+
{%- if tool_call.function is defined %}
|
| 31 |
+
{%- set tool_call = tool_call.function %}
|
| 32 |
+
{%- endif %}
|
| 33 |
+
{{- '\n<tool_call>\n{"name": "' }}
|
| 34 |
+
{{- tool_call.name }}
|
| 35 |
+
{{- '", "arguments": ' }}
|
| 36 |
+
{{- tool_call.arguments | tojson }}
|
| 37 |
+
{{- '}\n</tool_call>' }}
|
| 38 |
+
{%- endfor %}
|
| 39 |
+
{{- '<|im_end|>\n' }}
|
| 40 |
+
{%- elif message.role == "tool" %}
|
| 41 |
+
{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
|
| 42 |
+
{{- '<|im_start|>user' }}
|
| 43 |
+
{%- endif %}
|
| 44 |
+
{{- '\n<tool_response>\n' }}
|
| 45 |
+
{{- message.content }}
|
| 46 |
+
{{- '\n</tool_response>' }}
|
| 47 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 48 |
+
{{- '<|im_end|>\n' }}
|
| 49 |
+
{%- endif %}
|
| 50 |
+
{%- endif %}
|
| 51 |
+
{%- endfor %}
|
| 52 |
+
{%- if add_generation_prompt %}
|
| 53 |
+
{{- '<|im_start|>assistant\n' }}
|
| 54 |
+
{%- endif %}
|
config.json
ADDED
|
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen2ForCausalLM"
|
| 4 |
+
],
|
| 5 |
+
"attention_dropout": 0.0,
|
| 6 |
+
"bos_token_id": 151643,
|
| 7 |
+
"eos_token_id": 151643,
|
| 8 |
+
"hidden_act": "silu",
|
| 9 |
+
"hidden_size": 3584,
|
| 10 |
+
"initializer_range": 0.02,
|
| 11 |
+
"intermediate_size": 18944,
|
| 12 |
+
"max_position_embeddings": 131072,
|
| 13 |
+
"max_window_layers": 28,
|
| 14 |
+
"model_type": "qwen2",
|
| 15 |
+
"num_attention_heads": 28,
|
| 16 |
+
"num_hidden_layers": 28,
|
| 17 |
+
"num_key_value_heads": 4,
|
| 18 |
+
"rms_norm_eps": 1e-06,
|
| 19 |
+
"rope_scaling": null,
|
| 20 |
+
"rope_theta": 1000000.0,
|
| 21 |
+
"sliding_window": 131072,
|
| 22 |
+
"tie_word_embeddings": false,
|
| 23 |
+
"torch_dtype": "bfloat16",
|
| 24 |
+
"transformers_version": "4.52.4",
|
| 25 |
+
"use_cache": false,
|
| 26 |
+
"use_mrope": false,
|
| 27 |
+
"use_sliding_window": false,
|
| 28 |
+
"vocab_size": 152064
|
| 29 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token_id": 151643,
|
| 3 |
+
"eos_token_id": 151643,
|
| 4 |
+
"max_new_tokens": 2048,
|
| 5 |
+
"transformers_version": "4.52.4"
|
| 6 |
+
}
|
merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
model-00001-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bf249bfd395c88e83b8578246febfcfa2a5f9d18d75df38a621dcd50243ffad0
|
| 3 |
+
size 4877660776
|
model-00002-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0fba2ccd660959431f87efd1135caebef13ce5c94c057f0b8f38b351ba158716
|
| 3 |
+
size 4932751008
|
model-00003-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a8eac81bf5ab0e043118c30741a2f6813c5aa1620f2a5562d74c5e3dadca9978
|
| 3 |
+
size 4330865200
|
model-00004-of-00004.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:67bcb68e799155fdd32d2804ee858a56a1585f0713b99989969335c2988365fe
|
| 3 |
+
size 1089994880
|
model.safetensors.index.json
ADDED
|
@@ -0,0 +1,346 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"metadata": {
|
| 3 |
+
"total_size": 15231233024
|
| 4 |
+
},
|
| 5 |
+
"weight_map": {
|
| 6 |
+
"lm_head.weight": "model-00004-of-00004.safetensors",
|
| 7 |
+
"model.embed_tokens.weight": "model-00001-of-00004.safetensors",
|
| 8 |
+
"model.layers.0.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 9 |
+
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 10 |
+
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 11 |
+
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 12 |
+
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 13 |
+
"model.layers.0.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
| 14 |
+
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
| 15 |
+
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
| 16 |
+
"model.layers.0.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
| 17 |
+
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 18 |
+
"model.layers.0.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
| 19 |
+
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
| 20 |
+
"model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 21 |
+
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 22 |
+
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 23 |
+
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 24 |
+
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 25 |
+
"model.layers.1.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
| 26 |
+
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
| 27 |
+
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
| 28 |
+
"model.layers.1.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
| 29 |
+
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 30 |
+
"model.layers.1.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
| 31 |
+
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
| 32 |
+
"model.layers.10.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 33 |
+
"model.layers.10.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 34 |
+
"model.layers.10.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 35 |
+
"model.layers.10.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 36 |
+
"model.layers.10.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 37 |
+
"model.layers.10.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
| 38 |
+
"model.layers.10.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 39 |
+
"model.layers.10.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 40 |
+
"model.layers.10.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
| 41 |
+
"model.layers.10.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 42 |
+
"model.layers.10.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
| 43 |
+
"model.layers.10.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 44 |
+
"model.layers.11.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 45 |
+
"model.layers.11.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 46 |
+
"model.layers.11.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 47 |
+
"model.layers.11.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 48 |
+
"model.layers.11.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 49 |
+
"model.layers.11.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
| 50 |
+
"model.layers.11.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 51 |
+
"model.layers.11.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 52 |
+
"model.layers.11.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
| 53 |
+
"model.layers.11.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 54 |
+
"model.layers.11.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
| 55 |
+
"model.layers.11.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 56 |
+
"model.layers.12.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 57 |
+
"model.layers.12.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 58 |
+
"model.layers.12.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 59 |
+
"model.layers.12.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 60 |
+
"model.layers.12.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 61 |
+
"model.layers.12.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
| 62 |
+
"model.layers.12.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 63 |
+
"model.layers.12.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 64 |
+
"model.layers.12.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
| 65 |
+
"model.layers.12.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 66 |
+
"model.layers.12.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
| 67 |
+
"model.layers.12.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 68 |
+
"model.layers.13.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 69 |
+
"model.layers.13.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 70 |
+
"model.layers.13.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 71 |
+
"model.layers.13.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 72 |
+
"model.layers.13.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 73 |
+
"model.layers.13.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
| 74 |
+
"model.layers.13.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 75 |
+
"model.layers.13.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 76 |
+
"model.layers.13.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
| 77 |
+
"model.layers.13.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 78 |
+
"model.layers.13.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
| 79 |
+
"model.layers.13.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 80 |
+
"model.layers.14.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 81 |
+
"model.layers.14.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 82 |
+
"model.layers.14.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 83 |
+
"model.layers.14.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 84 |
+
"model.layers.14.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 85 |
+
"model.layers.14.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
| 86 |
+
"model.layers.14.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 87 |
+
"model.layers.14.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 88 |
+
"model.layers.14.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
| 89 |
+
"model.layers.14.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 90 |
+
"model.layers.14.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
| 91 |
+
"model.layers.14.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 92 |
+
"model.layers.15.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 93 |
+
"model.layers.15.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 94 |
+
"model.layers.15.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 95 |
+
"model.layers.15.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 96 |
+
"model.layers.15.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 97 |
+
"model.layers.15.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
| 98 |
+
"model.layers.15.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 99 |
+
"model.layers.15.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 100 |
+
"model.layers.15.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
| 101 |
+
"model.layers.15.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 102 |
+
"model.layers.15.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
| 103 |
+
"model.layers.15.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 104 |
+
"model.layers.16.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 105 |
+
"model.layers.16.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 106 |
+
"model.layers.16.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 107 |
+
"model.layers.16.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 108 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 109 |
+
"model.layers.16.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
| 110 |
+
"model.layers.16.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 111 |
+
"model.layers.16.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 112 |
+
"model.layers.16.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
| 113 |
+
"model.layers.16.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 114 |
+
"model.layers.16.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
| 115 |
+
"model.layers.16.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 116 |
+
"model.layers.17.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 117 |
+
"model.layers.17.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 118 |
+
"model.layers.17.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 119 |
+
"model.layers.17.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 120 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 121 |
+
"model.layers.17.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
| 122 |
+
"model.layers.17.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 123 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 124 |
+
"model.layers.17.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
| 125 |
+
"model.layers.17.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 126 |
+
"model.layers.17.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
| 127 |
+
"model.layers.17.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 128 |
+
"model.layers.18.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 129 |
+
"model.layers.18.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 130 |
+
"model.layers.18.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 131 |
+
"model.layers.18.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 132 |
+
"model.layers.18.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 133 |
+
"model.layers.18.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
| 134 |
+
"model.layers.18.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 135 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 136 |
+
"model.layers.18.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
| 137 |
+
"model.layers.18.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 138 |
+
"model.layers.18.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
| 139 |
+
"model.layers.18.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 140 |
+
"model.layers.19.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 141 |
+
"model.layers.19.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 142 |
+
"model.layers.19.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 143 |
+
"model.layers.19.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 144 |
+
"model.layers.19.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 145 |
+
"model.layers.19.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
| 146 |
+
"model.layers.19.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 147 |
+
"model.layers.19.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 148 |
+
"model.layers.19.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
| 149 |
+
"model.layers.19.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 150 |
+
"model.layers.19.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
| 151 |
+
"model.layers.19.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 152 |
+
"model.layers.2.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 153 |
+
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 154 |
+
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 155 |
+
"model.layers.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 156 |
+
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 157 |
+
"model.layers.2.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
| 158 |
+
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
| 159 |
+
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
| 160 |
+
"model.layers.2.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
| 161 |
+
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 162 |
+
"model.layers.2.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
| 163 |
+
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
| 164 |
+
"model.layers.20.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 165 |
+
"model.layers.20.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 166 |
+
"model.layers.20.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 167 |
+
"model.layers.20.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 168 |
+
"model.layers.20.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 169 |
+
"model.layers.20.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
| 170 |
+
"model.layers.20.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 171 |
+
"model.layers.20.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 172 |
+
"model.layers.20.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
| 173 |
+
"model.layers.20.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 174 |
+
"model.layers.20.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
| 175 |
+
"model.layers.20.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 176 |
+
"model.layers.21.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 177 |
+
"model.layers.21.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 178 |
+
"model.layers.21.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 179 |
+
"model.layers.21.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 180 |
+
"model.layers.21.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 181 |
+
"model.layers.21.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
| 182 |
+
"model.layers.21.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 183 |
+
"model.layers.21.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 184 |
+
"model.layers.21.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
| 185 |
+
"model.layers.21.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 186 |
+
"model.layers.21.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
| 187 |
+
"model.layers.21.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 188 |
+
"model.layers.22.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 189 |
+
"model.layers.22.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 190 |
+
"model.layers.22.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 191 |
+
"model.layers.22.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 192 |
+
"model.layers.22.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 193 |
+
"model.layers.22.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
| 194 |
+
"model.layers.22.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 195 |
+
"model.layers.22.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 196 |
+
"model.layers.22.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
| 197 |
+
"model.layers.22.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 198 |
+
"model.layers.22.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
| 199 |
+
"model.layers.22.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 200 |
+
"model.layers.23.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 201 |
+
"model.layers.23.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 202 |
+
"model.layers.23.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 203 |
+
"model.layers.23.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 204 |
+
"model.layers.23.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 205 |
+
"model.layers.23.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
| 206 |
+
"model.layers.23.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 207 |
+
"model.layers.23.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 208 |
+
"model.layers.23.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
| 209 |
+
"model.layers.23.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 210 |
+
"model.layers.23.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
| 211 |
+
"model.layers.23.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 212 |
+
"model.layers.24.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 213 |
+
"model.layers.24.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 214 |
+
"model.layers.24.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 215 |
+
"model.layers.24.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 216 |
+
"model.layers.24.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 217 |
+
"model.layers.24.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
| 218 |
+
"model.layers.24.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 219 |
+
"model.layers.24.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 220 |
+
"model.layers.24.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
| 221 |
+
"model.layers.24.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 222 |
+
"model.layers.24.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
| 223 |
+
"model.layers.24.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 224 |
+
"model.layers.25.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 225 |
+
"model.layers.25.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 226 |
+
"model.layers.25.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 227 |
+
"model.layers.25.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 228 |
+
"model.layers.25.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 229 |
+
"model.layers.25.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
| 230 |
+
"model.layers.25.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 231 |
+
"model.layers.25.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 232 |
+
"model.layers.25.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
| 233 |
+
"model.layers.25.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 234 |
+
"model.layers.25.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
| 235 |
+
"model.layers.25.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 236 |
+
"model.layers.26.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 237 |
+
"model.layers.26.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 238 |
+
"model.layers.26.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 239 |
+
"model.layers.26.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 240 |
+
"model.layers.26.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 241 |
+
"model.layers.26.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
| 242 |
+
"model.layers.26.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 243 |
+
"model.layers.26.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 244 |
+
"model.layers.26.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
| 245 |
+
"model.layers.26.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 246 |
+
"model.layers.26.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
| 247 |
+
"model.layers.26.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 248 |
+
"model.layers.27.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 249 |
+
"model.layers.27.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
| 250 |
+
"model.layers.27.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
| 251 |
+
"model.layers.27.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
| 252 |
+
"model.layers.27.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
| 253 |
+
"model.layers.27.self_attn.k_proj.bias": "model-00003-of-00004.safetensors",
|
| 254 |
+
"model.layers.27.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
| 255 |
+
"model.layers.27.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
| 256 |
+
"model.layers.27.self_attn.q_proj.bias": "model-00003-of-00004.safetensors",
|
| 257 |
+
"model.layers.27.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
| 258 |
+
"model.layers.27.self_attn.v_proj.bias": "model-00003-of-00004.safetensors",
|
| 259 |
+
"model.layers.27.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
| 260 |
+
"model.layers.3.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 261 |
+
"model.layers.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 262 |
+
"model.layers.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 263 |
+
"model.layers.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 264 |
+
"model.layers.3.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 265 |
+
"model.layers.3.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
| 266 |
+
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
| 267 |
+
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
| 268 |
+
"model.layers.3.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
| 269 |
+
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 270 |
+
"model.layers.3.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
| 271 |
+
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
| 272 |
+
"model.layers.4.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 273 |
+
"model.layers.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 274 |
+
"model.layers.4.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 275 |
+
"model.layers.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 276 |
+
"model.layers.4.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 277 |
+
"model.layers.4.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
| 278 |
+
"model.layers.4.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
| 279 |
+
"model.layers.4.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
| 280 |
+
"model.layers.4.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
| 281 |
+
"model.layers.4.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 282 |
+
"model.layers.4.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
| 283 |
+
"model.layers.4.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
| 284 |
+
"model.layers.5.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 285 |
+
"model.layers.5.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 286 |
+
"model.layers.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 287 |
+
"model.layers.5.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 288 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 289 |
+
"model.layers.5.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
| 290 |
+
"model.layers.5.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
| 291 |
+
"model.layers.5.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
| 292 |
+
"model.layers.5.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
| 293 |
+
"model.layers.5.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 294 |
+
"model.layers.5.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
| 295 |
+
"model.layers.5.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
| 296 |
+
"model.layers.6.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 297 |
+
"model.layers.6.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 298 |
+
"model.layers.6.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 299 |
+
"model.layers.6.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 300 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 301 |
+
"model.layers.6.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
| 302 |
+
"model.layers.6.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
| 303 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
| 304 |
+
"model.layers.6.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
| 305 |
+
"model.layers.6.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 306 |
+
"model.layers.6.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
| 307 |
+
"model.layers.6.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
| 308 |
+
"model.layers.7.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 309 |
+
"model.layers.7.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
| 310 |
+
"model.layers.7.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
| 311 |
+
"model.layers.7.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
| 312 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
| 313 |
+
"model.layers.7.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
| 314 |
+
"model.layers.7.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
| 315 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
| 316 |
+
"model.layers.7.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
| 317 |
+
"model.layers.7.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 318 |
+
"model.layers.7.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
| 319 |
+
"model.layers.7.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
| 320 |
+
"model.layers.8.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 321 |
+
"model.layers.8.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 322 |
+
"model.layers.8.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 323 |
+
"model.layers.8.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 324 |
+
"model.layers.8.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 325 |
+
"model.layers.8.self_attn.k_proj.bias": "model-00001-of-00004.safetensors",
|
| 326 |
+
"model.layers.8.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
| 327 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
| 328 |
+
"model.layers.8.self_attn.q_proj.bias": "model-00001-of-00004.safetensors",
|
| 329 |
+
"model.layers.8.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
| 330 |
+
"model.layers.8.self_attn.v_proj.bias": "model-00001-of-00004.safetensors",
|
| 331 |
+
"model.layers.8.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
| 332 |
+
"model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 333 |
+
"model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
| 334 |
+
"model.layers.9.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
| 335 |
+
"model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
| 336 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
| 337 |
+
"model.layers.9.self_attn.k_proj.bias": "model-00002-of-00004.safetensors",
|
| 338 |
+
"model.layers.9.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
| 339 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
| 340 |
+
"model.layers.9.self_attn.q_proj.bias": "model-00002-of-00004.safetensors",
|
| 341 |
+
"model.layers.9.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
| 342 |
+
"model.layers.9.self_attn.v_proj.bias": "model-00002-of-00004.safetensors",
|
| 343 |
+
"model.layers.9.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
| 344 |
+
"model.norm.weight": "model-00003-of-00004.safetensors"
|
| 345 |
+
}
|
| 346 |
+
}
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<EF>",
|
| 4 |
+
"</EF>"
|
| 5 |
+
],
|
| 6 |
+
"eos_token": {
|
| 7 |
+
"content": "<|im_end|>",
|
| 8 |
+
"lstrip": false,
|
| 9 |
+
"normalized": false,
|
| 10 |
+
"rstrip": false,
|
| 11 |
+
"single_word": false
|
| 12 |
+
},
|
| 13 |
+
"pad_token": {
|
| 14 |
+
"content": "<|endoftext|>",
|
| 15 |
+
"lstrip": false,
|
| 16 |
+
"normalized": false,
|
| 17 |
+
"rstrip": false,
|
| 18 |
+
"single_word": false
|
| 19 |
+
}
|
| 20 |
+
}
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:158bd03214732a3ce3e88b0486d80231c97fb06126840cfe44846c62c8c97c58
|
| 3 |
+
size 11422259
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,213 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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": "<EF>",
|
| 183 |
+
"lstrip": false,
|
| 184 |
+
"normalized": false,
|
| 185 |
+
"rstrip": false,
|
| 186 |
+
"single_word": false,
|
| 187 |
+
"special": true
|
| 188 |
+
},
|
| 189 |
+
"151666": {
|
| 190 |
+
"content": "</EF>",
|
| 191 |
+
"lstrip": false,
|
| 192 |
+
"normalized": false,
|
| 193 |
+
"rstrip": false,
|
| 194 |
+
"single_word": false,
|
| 195 |
+
"special": true
|
| 196 |
+
}
|
| 197 |
+
},
|
| 198 |
+
"additional_special_tokens": [
|
| 199 |
+
"<EF>",
|
| 200 |
+
"</EF>"
|
| 201 |
+
],
|
| 202 |
+
"bos_token": null,
|
| 203 |
+
"clean_up_tokenization_spaces": false,
|
| 204 |
+
"eos_token": "<|im_end|>",
|
| 205 |
+
"errors": "replace",
|
| 206 |
+
"extra_special_tokens": {},
|
| 207 |
+
"model_max_length": 131072,
|
| 208 |
+
"pad_token": "<|endoftext|>",
|
| 209 |
+
"padding_side": "right",
|
| 210 |
+
"split_special_tokens": false,
|
| 211 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 212 |
+
"unk_token": null
|
| 213 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 1.0,
|
| 3 |
+
"total_flos": 9.514760021422899e+17,
|
| 4 |
+
"train_loss": 0.5942036323547363,
|
| 5 |
+
"train_runtime": 26089.1141,
|
| 6 |
+
"train_samples_per_second": 14.701,
|
| 7 |
+
"train_steps_per_second": 0.029
|
| 8 |
+
}
|
trainer_log.jsonl
ADDED
|
@@ -0,0 +1,76 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"current_steps": 10, "total_steps": 750, "loss": 0.6301, "lr": 6.000000000000001e-07, "epoch": 0.013349463935588836, "percentage": 1.33, "elapsed_time": "0:06:40", "remaining_time": "8:13:49"}
|
| 2 |
+
{"current_steps": 20, "total_steps": 750, "loss": 0.6325, "lr": 1.2666666666666669e-06, "epoch": 0.026698927871177672, "percentage": 2.67, "elapsed_time": "0:12:24", "remaining_time": "7:32:53"}
|
| 3 |
+
{"current_steps": 30, "total_steps": 750, "loss": 0.6061, "lr": 1.9333333333333336e-06, "epoch": 0.04004839180676651, "percentage": 4.0, "elapsed_time": "0:18:19", "remaining_time": "7:19:38"}
|
| 4 |
+
{"current_steps": 40, "total_steps": 750, "loss": 0.6039, "lr": 2.6e-06, "epoch": 0.053397855742355345, "percentage": 5.33, "elapsed_time": "0:24:05", "remaining_time": "7:07:32"}
|
| 5 |
+
{"current_steps": 50, "total_steps": 750, "loss": 0.6035, "lr": 3.266666666666667e-06, "epoch": 0.06674731967794419, "percentage": 6.67, "elapsed_time": "0:29:51", "remaining_time": "6:57:57"}
|
| 6 |
+
{"current_steps": 60, "total_steps": 750, "loss": 0.6177, "lr": 3.9333333333333335e-06, "epoch": 0.08009678361353302, "percentage": 8.0, "elapsed_time": "0:35:37", "remaining_time": "6:49:39"}
|
| 7 |
+
{"current_steps": 70, "total_steps": 750, "loss": 0.603, "lr": 4.600000000000001e-06, "epoch": 0.09344624754912186, "percentage": 9.33, "elapsed_time": "0:41:24", "remaining_time": "6:42:15"}
|
| 8 |
+
{"current_steps": 80, "total_steps": 750, "loss": 0.6118, "lr": 4.99956677884892e-06, "epoch": 0.10679571148471069, "percentage": 10.67, "elapsed_time": "0:47:13", "remaining_time": "6:35:31"}
|
| 9 |
+
{"current_steps": 90, "total_steps": 750, "loss": 0.6116, "lr": 4.994694765050121e-06, "epoch": 0.12014517542029952, "percentage": 12.0, "elapsed_time": "0:53:05", "remaining_time": "6:29:16"}
|
| 10 |
+
{"current_steps": 100, "total_steps": 750, "loss": 0.6046, "lr": 4.984419797901491e-06, "epoch": 0.13349463935588837, "percentage": 13.33, "elapsed_time": "0:58:55", "remaining_time": "6:22:58"}
|
| 11 |
+
{"current_steps": 110, "total_steps": 750, "loss": 0.5961, "lr": 4.9687641306938766e-06, "epoch": 0.1468441032914772, "percentage": 14.67, "elapsed_time": "1:04:36", "remaining_time": "6:15:52"}
|
| 12 |
+
{"current_steps": 120, "total_steps": 750, "loss": 0.5891, "lr": 4.94776167011629e-06, "epoch": 0.16019356722706604, "percentage": 16.0, "elapsed_time": "1:10:19", "remaining_time": "6:09:14"}
|
| 13 |
+
{"current_steps": 130, "total_steps": 750, "loss": 0.5965, "lr": 4.921457902821578e-06, "epoch": 0.17354303116265488, "percentage": 17.33, "elapsed_time": "1:16:11", "remaining_time": "6:03:22"}
|
| 14 |
+
{"current_steps": 140, "total_steps": 750, "loss": 0.5876, "lr": 4.889909796912454e-06, "epoch": 0.1868924950982437, "percentage": 18.67, "elapsed_time": "1:21:55", "remaining_time": "5:56:56"}
|
| 15 |
+
{"current_steps": 150, "total_steps": 750, "loss": 0.5866, "lr": 4.85318567856128e-06, "epoch": 0.20024195903383255, "percentage": 20.0, "elapsed_time": "1:27:39", "remaining_time": "5:50:37"}
|
| 16 |
+
{"current_steps": 160, "total_steps": 750, "loss": 0.5917, "lr": 4.811365084030784e-06, "epoch": 0.21359142296942138, "percentage": 21.33, "elapsed_time": "1:33:24", "remaining_time": "5:44:25"}
|
| 17 |
+
{"current_steps": 170, "total_steps": 750, "loss": 0.5972, "lr": 4.764538587416233e-06, "epoch": 0.22694088690501021, "percentage": 22.67, "elapsed_time": "1:39:11", "remaining_time": "5:38:26"}
|
| 18 |
+
{"current_steps": 180, "total_steps": 750, "loss": 0.5692, "lr": 4.712807604482108e-06, "epoch": 0.24029035084059905, "percentage": 24.0, "elapsed_time": "1:44:54", "remaining_time": "5:32:12"}
|
| 19 |
+
{"current_steps": 190, "total_steps": 750, "loss": 0.5878, "lr": 4.656284173018144e-06, "epoch": 0.2536398147761879, "percentage": 25.33, "elapsed_time": "1:50:35", "remaining_time": "5:25:58"}
|
| 20 |
+
{"current_steps": 200, "total_steps": 750, "loss": 0.606, "lr": 4.595090710190419e-06, "epoch": 0.26698927871177675, "percentage": 26.67, "elapsed_time": "1:56:17", "remaining_time": "5:19:48"}
|
| 21 |
+
{"current_steps": 210, "total_steps": 750, "loss": 0.5921, "lr": 4.529359747413038e-06, "epoch": 0.2803387426473656, "percentage": 28.0, "elapsed_time": "2:01:57", "remaining_time": "5:13:37"}
|
| 22 |
+
{"current_steps": 220, "total_steps": 750, "loss": 0.5954, "lr": 4.4592336433146e-06, "epoch": 0.2936882065829544, "percentage": 29.33, "elapsed_time": "2:07:48", "remaining_time": "5:07:53"}
|
| 23 |
+
{"current_steps": 230, "total_steps": 750, "loss": 0.6013, "lr": 4.384864275421109e-06, "epoch": 0.30703767051854325, "percentage": 30.67, "elapsed_time": "2:13:31", "remaining_time": "5:01:52"}
|
| 24 |
+
{"current_steps": 240, "total_steps": 750, "loss": 0.6083, "lr": 4.30641271122307e-06, "epoch": 0.3203871344541321, "percentage": 32.0, "elapsed_time": "2:19:21", "remaining_time": "4:56:08"}
|
| 25 |
+
{"current_steps": 250, "total_steps": 750, "loss": 0.6216, "lr": 4.224048859339175e-06, "epoch": 0.3337365983897209, "percentage": 33.33, "elapsed_time": "2:25:10", "remaining_time": "4:50:20"}
|
| 26 |
+
{"current_steps": 260, "total_steps": 750, "loss": 0.6042, "lr": 4.1379511015320625e-06, "epoch": 0.34708606232530975, "percentage": 34.67, "elapsed_time": "2:31:22", "remaining_time": "4:45:17"}
|
| 27 |
+
{"current_steps": 270, "total_steps": 750, "loss": 0.6163, "lr": 4.048305906373151e-06, "epoch": 0.3604355262608986, "percentage": 36.0, "elapsed_time": "2:37:11", "remaining_time": "4:39:27"}
|
| 28 |
+
{"current_steps": 280, "total_steps": 750, "loss": 0.576, "lr": 3.955307425393224e-06, "epoch": 0.3737849901964874, "percentage": 37.33, "elapsed_time": "2:42:58", "remaining_time": "4:33:34"}
|
| 29 |
+
{"current_steps": 290, "total_steps": 750, "loss": 0.5905, "lr": 3.859157072593459e-06, "epoch": 0.38713445413207626, "percentage": 38.67, "elapsed_time": "2:48:42", "remaining_time": "4:27:37"}
|
| 30 |
+
{"current_steps": 300, "total_steps": 750, "loss": 0.6046, "lr": 3.760063088227542e-06, "epoch": 0.4004839180676651, "percentage": 40.0, "elapsed_time": "2:54:33", "remaining_time": "4:21:50"}
|
| 31 |
+
{"current_steps": 310, "total_steps": 750, "loss": 0.5795, "lr": 3.658240087799655e-06, "epoch": 0.4138333820032539, "percentage": 41.33, "elapsed_time": "3:00:16", "remaining_time": "4:15:53"}
|
| 32 |
+
{"current_steps": 320, "total_steps": 750, "loss": 0.6001, "lr": 3.5539085972550786e-06, "epoch": 0.42718284593884276, "percentage": 42.67, "elapsed_time": "3:06:04", "remaining_time": "4:10:02"}
|
| 33 |
+
{"current_steps": 330, "total_steps": 750, "loss": 0.5969, "lr": 3.4472945753701038e-06, "epoch": 0.4405323098744316, "percentage": 44.0, "elapsed_time": "3:11:49", "remaining_time": "4:04:08"}
|
| 34 |
+
{"current_steps": 340, "total_steps": 750, "loss": 0.5809, "lr": 3.338628924375638e-06, "epoch": 0.45388177381002043, "percentage": 45.33, "elapsed_time": "3:17:36", "remaining_time": "3:58:17"}
|
| 35 |
+
{"current_steps": 350, "total_steps": 750, "loss": 0.5884, "lr": 3.228146989874389e-06, "epoch": 0.46723123774560926, "percentage": 46.67, "elapsed_time": "3:23:22", "remaining_time": "3:52:25"}
|
| 36 |
+
{"current_steps": 360, "total_steps": 750, "loss": 0.5854, "lr": 3.116088051134695e-06, "epoch": 0.4805807016811981, "percentage": 48.0, "elapsed_time": "3:29:05", "remaining_time": "3:46:31"}
|
| 37 |
+
{"current_steps": 370, "total_steps": 750, "loss": 0.6115, "lr": 3.002694802864912e-06, "epoch": 0.49393016561678693, "percentage": 49.33, "elapsed_time": "3:34:48", "remaining_time": "3:40:37"}
|
| 38 |
+
{"current_steps": 380, "total_steps": 750, "loss": 0.6079, "lr": 2.888212829590719e-06, "epoch": 0.5072796295523758, "percentage": 50.67, "elapsed_time": "3:40:38", "remaining_time": "3:34:50"}
|
| 39 |
+
{"current_steps": 390, "total_steps": 750, "loss": 0.5787, "lr": 2.77289007377372e-06, "epoch": 0.5206290934879646, "percentage": 52.0, "elapsed_time": "3:46:23", "remaining_time": "3:28:58"}
|
| 40 |
+
{"current_steps": 400, "total_steps": 750, "loss": 0.6069, "lr": 2.6569762988232838e-06, "epoch": 0.5339785574235535, "percentage": 53.33, "elapsed_time": "3:52:07", "remaining_time": "3:23:06"}
|
| 41 |
+
{"current_steps": 410, "total_steps": 750, "loss": 0.575, "lr": 2.5407225481646146e-06, "epoch": 0.5473280213591423, "percentage": 54.67, "elapsed_time": "3:57:52", "remaining_time": "3:17:15"}
|
| 42 |
+
{"current_steps": 420, "total_steps": 750, "loss": 0.5858, "lr": 2.4243806015345988e-06, "epoch": 0.5606774852947312, "percentage": 56.0, "elapsed_time": "4:03:38", "remaining_time": "3:11:25"}
|
| 43 |
+
{"current_steps": 430, "total_steps": 750, "loss": 0.5699, "lr": 2.3082024296829538e-06, "epoch": 0.5740269492303199, "percentage": 57.33, "elapsed_time": "4:09:20", "remaining_time": "3:05:33"}
|
| 44 |
+
{"current_steps": 440, "total_steps": 750, "loss": 0.5823, "lr": 2.192439648659699e-06, "epoch": 0.5873764131659088, "percentage": 58.67, "elapsed_time": "4:15:07", "remaining_time": "2:59:45"}
|
| 45 |
+
{"current_steps": 450, "total_steps": 750, "loss": 0.5974, "lr": 2.0773429748708153e-06, "epoch": 0.6007258771014976, "percentage": 60.0, "elapsed_time": "4:20:57", "remaining_time": "2:53:58"}
|
| 46 |
+
{"current_steps": 460, "total_steps": 750, "loss": 0.5905, "lr": 1.963161682082342e-06, "epoch": 0.6140753410370865, "percentage": 61.33, "elapsed_time": "4:26:45", "remaining_time": "2:48:10"}
|
| 47 |
+
{"current_steps": 470, "total_steps": 750, "loss": 0.5841, "lr": 1.850143061548907e-06, "epoch": 0.6274248049726753, "percentage": 62.67, "elapsed_time": "4:32:32", "remaining_time": "2:42:22"}
|
| 48 |
+
{"current_steps": 480, "total_steps": 750, "loss": 0.5883, "lr": 1.7385318864359304e-06, "epoch": 0.6407742689082642, "percentage": 64.0, "elapsed_time": "4:38:15", "remaining_time": "2:36:31"}
|
| 49 |
+
{"current_steps": 490, "total_steps": 750, "loss": 0.5981, "lr": 1.6285698816954626e-06, "epoch": 0.654123732843853, "percentage": 65.33, "elapsed_time": "4:44:08", "remaining_time": "2:30:46"}
|
| 50 |
+
{"current_steps": 500, "total_steps": 750, "loss": 0.594, "lr": 1.520495200543754e-06, "epoch": 0.6674731967794418, "percentage": 66.67, "elapsed_time": "4:49:55", "remaining_time": "2:24:57"}
|
| 51 |
+
{"current_steps": 510, "total_steps": 750, "loss": 0.5978, "lr": 1.41454190867443e-06, "epoch": 0.6808226607150306, "percentage": 68.0, "elapsed_time": "4:56:11", "remaining_time": "2:19:22"}
|
| 52 |
+
{"current_steps": 520, "total_steps": 750, "loss": 0.5867, "lr": 1.3109394773243117e-06, "epoch": 0.6941721246506195, "percentage": 69.33, "elapsed_time": "5:01:57", "remaining_time": "2:13:33"}
|
| 53 |
+
{"current_steps": 530, "total_steps": 750, "loss": 0.6018, "lr": 1.2099122862898214e-06, "epoch": 0.7075215885862083, "percentage": 70.67, "elapsed_time": "5:07:43", "remaining_time": "2:07:44"}
|
| 54 |
+
{"current_steps": 540, "total_steps": 750, "loss": 0.6013, "lr": 1.1116791379703032e-06, "epoch": 0.7208710525217972, "percentage": 72.0, "elapsed_time": "5:13:29", "remaining_time": "2:01:54"}
|
| 55 |
+
{"current_steps": 550, "total_steps": 750, "loss": 0.591, "lr": 1.0164527834907468e-06, "epoch": 0.7342205164573861, "percentage": 73.33, "elapsed_time": "5:19:14", "remaining_time": "1:56:05"}
|
| 56 |
+
{"current_steps": 560, "total_steps": 750, "loss": 0.5691, "lr": 9.244394619302338e-07, "epoch": 0.7475699803929748, "percentage": 74.67, "elapsed_time": "5:24:59", "remaining_time": "1:50:15"}
|
| 57 |
+
{"current_steps": 570, "total_steps": 750, "loss": 0.6041, "lr": 8.35838453654009e-07, "epoch": 0.7609194443285637, "percentage": 76.0, "elapsed_time": "5:30:50", "remaining_time": "1:44:28"}
|
| 58 |
+
{"current_steps": 580, "total_steps": 750, "loss": 0.5886, "lr": 7.508416487165862e-07, "epoch": 0.7742689082641525, "percentage": 77.33, "elapsed_time": "5:36:35", "remaining_time": "1:38:39"}
|
| 59 |
+
{"current_steps": 590, "total_steps": 750, "loss": 0.5754, "lr": 6.696331312706245e-07, "epoch": 0.7876183721997414, "percentage": 78.67, "elapsed_time": "5:42:21", "remaining_time": "1:32:50"}
|
| 60 |
+
{"current_steps": 600, "total_steps": 750, "loss": 0.5896, "lr": 5.923887808816373e-07, "epoch": 0.8009678361353302, "percentage": 80.0, "elapsed_time": "5:48:10", "remaining_time": "1:27:02"}
|
| 61 |
+
{"current_steps": 610, "total_steps": 750, "loss": 0.5831, "lr": 5.192758916120236e-07, "epoch": 0.8143173000709191, "percentage": 81.33, "elapsed_time": "5:53:50", "remaining_time": "1:21:12"}
|
| 62 |
+
{"current_steps": 620, "total_steps": 750, "loss": 0.5937, "lr": 4.5045280969937847e-07, "epoch": 0.8276667640065078, "percentage": 82.67, "elapsed_time": "5:59:39", "remaining_time": "1:15:24"}
|
| 63 |
+
{"current_steps": 630, "total_steps": 750, "loss": 0.5933, "lr": 3.86068590613804e-07, "epoch": 0.8410162279420967, "percentage": 84.0, "elapsed_time": "6:05:25", "remaining_time": "1:09:36"}
|
| 64 |
+
{"current_steps": 640, "total_steps": 750, "loss": 0.5993, "lr": 3.262626762369525e-07, "epoch": 0.8543656918776855, "percentage": 85.33, "elapsed_time": "6:11:14", "remaining_time": "1:03:48"}
|
| 65 |
+
{"current_steps": 650, "total_steps": 750, "loss": 0.6012, "lr": 2.7116459286195887e-07, "epoch": 0.8677151558132744, "percentage": 86.67, "elapsed_time": "6:17:03", "remaining_time": "0:58:00"}
|
| 66 |
+
{"current_steps": 660, "total_steps": 750, "loss": 0.5856, "lr": 2.208936706683351e-07, "epoch": 0.8810646197488632, "percentage": 88.0, "elapsed_time": "6:22:45", "remaining_time": "0:52:11"}
|
| 67 |
+
{"current_steps": 670, "total_steps": 750, "loss": 0.5929, "lr": 1.7555878527937164e-07, "epoch": 0.8944140836844521, "percentage": 89.33, "elapsed_time": "6:28:39", "remaining_time": "0:46:24"}
|
| 68 |
+
{"current_steps": 680, "total_steps": 750, "loss": 0.578, "lr": 1.352581219617824e-07, "epoch": 0.9077635476200409, "percentage": 90.67, "elapsed_time": "6:34:30", "remaining_time": "0:40:36"}
|
| 69 |
+
{"current_steps": 690, "total_steps": 750, "loss": 0.5815, "lr": 1.0007896297828113e-07, "epoch": 0.9211130115556297, "percentage": 92.0, "elapsed_time": "6:40:12", "remaining_time": "0:34:48"}
|
| 70 |
+
{"current_steps": 700, "total_steps": 750, "loss": 0.5984, "lr": 7.009749855363457e-08, "epoch": 0.9344624754912185, "percentage": 93.33, "elapsed_time": "6:46:04", "remaining_time": "0:29:00"}
|
| 71 |
+
{"current_steps": 710, "total_steps": 750, "loss": 0.5797, "lr": 4.537866186360207e-08, "epoch": 0.9478119394268074, "percentage": 94.67, "elapsed_time": "6:51:54", "remaining_time": "0:23:12"}
|
| 72 |
+
{"current_steps": 720, "total_steps": 750, "loss": 0.5822, "lr": 2.59759884041369e-08, "epoch": 0.9611614033623962, "percentage": 96.0, "elapsed_time": "6:57:37", "remaining_time": "0:17:24"}
|
| 73 |
+
{"current_steps": 730, "total_steps": 750, "loss": 0.6017, "lr": 1.193150004542204e-08, "epoch": 0.9745108672979851, "percentage": 97.33, "elapsed_time": "7:03:27", "remaining_time": "0:11:36"}
|
| 74 |
+
{"current_steps": 740, "total_steps": 750, "loss": 0.5792, "lr": 3.275614021857609e-09, "epoch": 0.9878603312335739, "percentage": 98.67, "elapsed_time": "7:09:10", "remaining_time": "0:05:47"}
|
| 75 |
+
{"current_steps": 750, "total_steps": 750, "loss": 0.5653, "lr": 2.7077055103075233e-11, "epoch": 1.0, "percentage": 100.0, "elapsed_time": "7:14:24", "remaining_time": "0:00:00"}
|
| 76 |
+
{"current_steps": 750, "total_steps": 750, "epoch": 1.0, "percentage": 100.0, "elapsed_time": "7:14:49", "remaining_time": "0:00:00"}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,568 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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": 750,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.013349463935588836,
|
| 14 |
+
"grad_norm": 3.8443384275181525,
|
| 15 |
+
"learning_rate": 6.000000000000001e-07,
|
| 16 |
+
"loss": 0.6301,
|
| 17 |
+
"step": 10
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.026698927871177672,
|
| 21 |
+
"grad_norm": 1.1304019443903548,
|
| 22 |
+
"learning_rate": 1.2666666666666669e-06,
|
| 23 |
+
"loss": 0.6325,
|
| 24 |
+
"step": 20
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.04004839180676651,
|
| 28 |
+
"grad_norm": 0.7924252148112436,
|
| 29 |
+
"learning_rate": 1.9333333333333336e-06,
|
| 30 |
+
"loss": 0.6061,
|
| 31 |
+
"step": 30
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.053397855742355345,
|
| 35 |
+
"grad_norm": 0.7615554902176207,
|
| 36 |
+
"learning_rate": 2.6e-06,
|
| 37 |
+
"loss": 0.6039,
|
| 38 |
+
"step": 40
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.06674731967794419,
|
| 42 |
+
"grad_norm": 0.6884584126571622,
|
| 43 |
+
"learning_rate": 3.266666666666667e-06,
|
| 44 |
+
"loss": 0.6035,
|
| 45 |
+
"step": 50
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.08009678361353302,
|
| 49 |
+
"grad_norm": 0.6895907181910402,
|
| 50 |
+
"learning_rate": 3.9333333333333335e-06,
|
| 51 |
+
"loss": 0.6177,
|
| 52 |
+
"step": 60
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 0.09344624754912186,
|
| 56 |
+
"grad_norm": 0.6789285267200114,
|
| 57 |
+
"learning_rate": 4.600000000000001e-06,
|
| 58 |
+
"loss": 0.603,
|
| 59 |
+
"step": 70
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.10679571148471069,
|
| 63 |
+
"grad_norm": 0.6467096461947729,
|
| 64 |
+
"learning_rate": 4.99956677884892e-06,
|
| 65 |
+
"loss": 0.6118,
|
| 66 |
+
"step": 80
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.12014517542029952,
|
| 70 |
+
"grad_norm": 0.6168635819855449,
|
| 71 |
+
"learning_rate": 4.994694765050121e-06,
|
| 72 |
+
"loss": 0.6116,
|
| 73 |
+
"step": 90
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.13349463935588837,
|
| 77 |
+
"grad_norm": 0.5441117690789925,
|
| 78 |
+
"learning_rate": 4.984419797901491e-06,
|
| 79 |
+
"loss": 0.6046,
|
| 80 |
+
"step": 100
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.1468441032914772,
|
| 84 |
+
"grad_norm": 0.5172864204707323,
|
| 85 |
+
"learning_rate": 4.9687641306938766e-06,
|
| 86 |
+
"loss": 0.5961,
|
| 87 |
+
"step": 110
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.16019356722706604,
|
| 91 |
+
"grad_norm": 0.5120924898252496,
|
| 92 |
+
"learning_rate": 4.94776167011629e-06,
|
| 93 |
+
"loss": 0.5891,
|
| 94 |
+
"step": 120
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"epoch": 0.17354303116265488,
|
| 98 |
+
"grad_norm": 0.4936858545975663,
|
| 99 |
+
"learning_rate": 4.921457902821578e-06,
|
| 100 |
+
"loss": 0.5965,
|
| 101 |
+
"step": 130
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 0.1868924950982437,
|
| 105 |
+
"grad_norm": 0.5096637378296062,
|
| 106 |
+
"learning_rate": 4.889909796912454e-06,
|
| 107 |
+
"loss": 0.5876,
|
| 108 |
+
"step": 140
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"epoch": 0.20024195903383255,
|
| 112 |
+
"grad_norm": 0.4893103328332192,
|
| 113 |
+
"learning_rate": 4.85318567856128e-06,
|
| 114 |
+
"loss": 0.5866,
|
| 115 |
+
"step": 150
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"epoch": 0.21359142296942138,
|
| 119 |
+
"grad_norm": 0.48634183325283653,
|
| 120 |
+
"learning_rate": 4.811365084030784e-06,
|
| 121 |
+
"loss": 0.5917,
|
| 122 |
+
"step": 160
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.22694088690501021,
|
| 126 |
+
"grad_norm": 0.5077880866108633,
|
| 127 |
+
"learning_rate": 4.764538587416233e-06,
|
| 128 |
+
"loss": 0.5972,
|
| 129 |
+
"step": 170
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.24029035084059905,
|
| 133 |
+
"grad_norm": 0.5531086916036718,
|
| 134 |
+
"learning_rate": 4.712807604482108e-06,
|
| 135 |
+
"loss": 0.5692,
|
| 136 |
+
"step": 180
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 0.2536398147761879,
|
| 140 |
+
"grad_norm": 0.4815973346852316,
|
| 141 |
+
"learning_rate": 4.656284173018144e-06,
|
| 142 |
+
"loss": 0.5878,
|
| 143 |
+
"step": 190
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 0.26698927871177675,
|
| 147 |
+
"grad_norm": 0.4477210102882603,
|
| 148 |
+
"learning_rate": 4.595090710190419e-06,
|
| 149 |
+
"loss": 0.606,
|
| 150 |
+
"step": 200
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 0.2803387426473656,
|
| 154 |
+
"grad_norm": 0.4442300924031833,
|
| 155 |
+
"learning_rate": 4.529359747413038e-06,
|
| 156 |
+
"loss": 0.5921,
|
| 157 |
+
"step": 210
|
| 158 |
+
},
|
| 159 |
+
{
|
| 160 |
+
"epoch": 0.2936882065829544,
|
| 161 |
+
"grad_norm": 0.4318914186907017,
|
| 162 |
+
"learning_rate": 4.4592336433146e-06,
|
| 163 |
+
"loss": 0.5954,
|
| 164 |
+
"step": 220
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 0.30703767051854325,
|
| 168 |
+
"grad_norm": 0.4822511296612312,
|
| 169 |
+
"learning_rate": 4.384864275421109e-06,
|
| 170 |
+
"loss": 0.6013,
|
| 171 |
+
"step": 230
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 0.3203871344541321,
|
| 175 |
+
"grad_norm": 0.44291005932494015,
|
| 176 |
+
"learning_rate": 4.30641271122307e-06,
|
| 177 |
+
"loss": 0.6083,
|
| 178 |
+
"step": 240
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"epoch": 0.3337365983897209,
|
| 182 |
+
"grad_norm": 0.48203103136482495,
|
| 183 |
+
"learning_rate": 4.224048859339175e-06,
|
| 184 |
+
"loss": 0.6216,
|
| 185 |
+
"step": 250
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 0.34708606232530975,
|
| 189 |
+
"grad_norm": 0.45150578106097233,
|
| 190 |
+
"learning_rate": 4.1379511015320625e-06,
|
| 191 |
+
"loss": 0.6042,
|
| 192 |
+
"step": 260
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"epoch": 0.3604355262608986,
|
| 196 |
+
"grad_norm": 0.4551136191346761,
|
| 197 |
+
"learning_rate": 4.048305906373151e-06,
|
| 198 |
+
"loss": 0.6163,
|
| 199 |
+
"step": 270
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"epoch": 0.3737849901964874,
|
| 203 |
+
"grad_norm": 0.46692000639310954,
|
| 204 |
+
"learning_rate": 3.955307425393224e-06,
|
| 205 |
+
"loss": 0.576,
|
| 206 |
+
"step": 280
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 0.38713445413207626,
|
| 210 |
+
"grad_norm": 0.43289733012383014,
|
| 211 |
+
"learning_rate": 3.859157072593459e-06,
|
| 212 |
+
"loss": 0.5905,
|
| 213 |
+
"step": 290
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"epoch": 0.4004839180676651,
|
| 217 |
+
"grad_norm": 0.47300144920672366,
|
| 218 |
+
"learning_rate": 3.760063088227542e-06,
|
| 219 |
+
"loss": 0.6046,
|
| 220 |
+
"step": 300
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"epoch": 0.4138333820032539,
|
| 224 |
+
"grad_norm": 0.43427902038611416,
|
| 225 |
+
"learning_rate": 3.658240087799655e-06,
|
| 226 |
+
"loss": 0.5795,
|
| 227 |
+
"step": 310
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 0.42718284593884276,
|
| 231 |
+
"grad_norm": 0.4321634460614613,
|
| 232 |
+
"learning_rate": 3.5539085972550786e-06,
|
| 233 |
+
"loss": 0.6001,
|
| 234 |
+
"step": 320
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 0.4405323098744316,
|
| 238 |
+
"grad_norm": 0.4751769823117227,
|
| 239 |
+
"learning_rate": 3.4472945753701038e-06,
|
| 240 |
+
"loss": 0.5969,
|
| 241 |
+
"step": 330
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 0.45388177381002043,
|
| 245 |
+
"grad_norm": 0.4523747463622145,
|
| 246 |
+
"learning_rate": 3.338628924375638e-06,
|
| 247 |
+
"loss": 0.5809,
|
| 248 |
+
"step": 340
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 0.46723123774560926,
|
| 252 |
+
"grad_norm": 0.4571186296564021,
|
| 253 |
+
"learning_rate": 3.228146989874389e-06,
|
| 254 |
+
"loss": 0.5884,
|
| 255 |
+
"step": 350
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 0.4805807016811981,
|
| 259 |
+
"grad_norm": 0.48390017792164,
|
| 260 |
+
"learning_rate": 3.116088051134695e-06,
|
| 261 |
+
"loss": 0.5854,
|
| 262 |
+
"step": 360
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"epoch": 0.49393016561678693,
|
| 266 |
+
"grad_norm": 0.4656758402293932,
|
| 267 |
+
"learning_rate": 3.002694802864912e-06,
|
| 268 |
+
"loss": 0.6115,
|
| 269 |
+
"step": 370
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 0.5072796295523758,
|
| 273 |
+
"grad_norm": 0.4624954532839225,
|
| 274 |
+
"learning_rate": 2.888212829590719e-06,
|
| 275 |
+
"loss": 0.6079,
|
| 276 |
+
"step": 380
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 0.5206290934879646,
|
| 280 |
+
"grad_norm": 0.436497560779719,
|
| 281 |
+
"learning_rate": 2.77289007377372e-06,
|
| 282 |
+
"loss": 0.5787,
|
| 283 |
+
"step": 390
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 0.5339785574235535,
|
| 287 |
+
"grad_norm": 0.46334201651691187,
|
| 288 |
+
"learning_rate": 2.6569762988232838e-06,
|
| 289 |
+
"loss": 0.6069,
|
| 290 |
+
"step": 400
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 0.5473280213591423,
|
| 294 |
+
"grad_norm": 0.4806566661003276,
|
| 295 |
+
"learning_rate": 2.5407225481646146e-06,
|
| 296 |
+
"loss": 0.575,
|
| 297 |
+
"step": 410
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 0.5606774852947312,
|
| 301 |
+
"grad_norm": 0.460214567270956,
|
| 302 |
+
"learning_rate": 2.4243806015345988e-06,
|
| 303 |
+
"loss": 0.5858,
|
| 304 |
+
"step": 420
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 0.5740269492303199,
|
| 308 |
+
"grad_norm": 0.42739545970036125,
|
| 309 |
+
"learning_rate": 2.3082024296829538e-06,
|
| 310 |
+
"loss": 0.5699,
|
| 311 |
+
"step": 430
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 0.5873764131659088,
|
| 315 |
+
"grad_norm": 0.4503645884785317,
|
| 316 |
+
"learning_rate": 2.192439648659699e-06,
|
| 317 |
+
"loss": 0.5823,
|
| 318 |
+
"step": 440
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 0.6007258771014976,
|
| 322 |
+
"grad_norm": 0.4776520102412501,
|
| 323 |
+
"learning_rate": 2.0773429748708153e-06,
|
| 324 |
+
"loss": 0.5974,
|
| 325 |
+
"step": 450
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 0.6140753410370865,
|
| 329 |
+
"grad_norm": 0.4600206541871604,
|
| 330 |
+
"learning_rate": 1.963161682082342e-06,
|
| 331 |
+
"loss": 0.5905,
|
| 332 |
+
"step": 460
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 0.6274248049726753,
|
| 336 |
+
"grad_norm": 0.42642177736501347,
|
| 337 |
+
"learning_rate": 1.850143061548907e-06,
|
| 338 |
+
"loss": 0.5841,
|
| 339 |
+
"step": 470
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 0.6407742689082642,
|
| 343 |
+
"grad_norm": 0.4374872861905679,
|
| 344 |
+
"learning_rate": 1.7385318864359304e-06,
|
| 345 |
+
"loss": 0.5883,
|
| 346 |
+
"step": 480
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 0.654123732843853,
|
| 350 |
+
"grad_norm": 0.4539731186521712,
|
| 351 |
+
"learning_rate": 1.6285698816954626e-06,
|
| 352 |
+
"loss": 0.5981,
|
| 353 |
+
"step": 490
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 0.6674731967794418,
|
| 357 |
+
"grad_norm": 0.49549560937788556,
|
| 358 |
+
"learning_rate": 1.520495200543754e-06,
|
| 359 |
+
"loss": 0.594,
|
| 360 |
+
"step": 500
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 0.6808226607150306,
|
| 364 |
+
"grad_norm": 0.442220991522498,
|
| 365 |
+
"learning_rate": 1.41454190867443e-06,
|
| 366 |
+
"loss": 0.5978,
|
| 367 |
+
"step": 510
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"epoch": 0.6941721246506195,
|
| 371 |
+
"grad_norm": 0.44323894790772966,
|
| 372 |
+
"learning_rate": 1.3109394773243117e-06,
|
| 373 |
+
"loss": 0.5867,
|
| 374 |
+
"step": 520
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 0.7075215885862083,
|
| 378 |
+
"grad_norm": 0.4233660170980954,
|
| 379 |
+
"learning_rate": 1.2099122862898214e-06,
|
| 380 |
+
"loss": 0.6018,
|
| 381 |
+
"step": 530
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 0.7208710525217972,
|
| 385 |
+
"grad_norm": 0.43218789543451824,
|
| 386 |
+
"learning_rate": 1.1116791379703032e-06,
|
| 387 |
+
"loss": 0.6013,
|
| 388 |
+
"step": 540
|
| 389 |
+
},
|
| 390 |
+
{
|
| 391 |
+
"epoch": 0.7342205164573861,
|
| 392 |
+
"grad_norm": 0.44159730183002366,
|
| 393 |
+
"learning_rate": 1.0164527834907468e-06,
|
| 394 |
+
"loss": 0.591,
|
| 395 |
+
"step": 550
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 0.7475699803929748,
|
| 399 |
+
"grad_norm": 0.43870818069759426,
|
| 400 |
+
"learning_rate": 9.244394619302338e-07,
|
| 401 |
+
"loss": 0.5691,
|
| 402 |
+
"step": 560
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 0.7609194443285637,
|
| 406 |
+
"grad_norm": 0.4477385893330783,
|
| 407 |
+
"learning_rate": 8.35838453654009e-07,
|
| 408 |
+
"loss": 0.6041,
|
| 409 |
+
"step": 570
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 0.7742689082641525,
|
| 413 |
+
"grad_norm": 0.43072214351782917,
|
| 414 |
+
"learning_rate": 7.508416487165862e-07,
|
| 415 |
+
"loss": 0.5886,
|
| 416 |
+
"step": 580
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 0.7876183721997414,
|
| 420 |
+
"grad_norm": 0.4279974728470172,
|
| 421 |
+
"learning_rate": 6.696331312706245e-07,
|
| 422 |
+
"loss": 0.5754,
|
| 423 |
+
"step": 590
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 0.8009678361353302,
|
| 427 |
+
"grad_norm": 0.3917096350694494,
|
| 428 |
+
"learning_rate": 5.923887808816373e-07,
|
| 429 |
+
"loss": 0.5896,
|
| 430 |
+
"step": 600
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"epoch": 0.8143173000709191,
|
| 434 |
+
"grad_norm": 0.4434938485219406,
|
| 435 |
+
"learning_rate": 5.192758916120236e-07,
|
| 436 |
+
"loss": 0.5831,
|
| 437 |
+
"step": 610
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 0.8276667640065078,
|
| 441 |
+
"grad_norm": 0.41679775408713765,
|
| 442 |
+
"learning_rate": 4.5045280969937847e-07,
|
| 443 |
+
"loss": 0.5937,
|
| 444 |
+
"step": 620
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 0.8410162279420967,
|
| 448 |
+
"grad_norm": 0.4268405005566493,
|
| 449 |
+
"learning_rate": 3.86068590613804e-07,
|
| 450 |
+
"loss": 0.5933,
|
| 451 |
+
"step": 630
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"epoch": 0.8543656918776855,
|
| 455 |
+
"grad_norm": 0.4166184793700984,
|
| 456 |
+
"learning_rate": 3.262626762369525e-07,
|
| 457 |
+
"loss": 0.5993,
|
| 458 |
+
"step": 640
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 0.8677151558132744,
|
| 462 |
+
"grad_norm": 0.41797554779045376,
|
| 463 |
+
"learning_rate": 2.7116459286195887e-07,
|
| 464 |
+
"loss": 0.6012,
|
| 465 |
+
"step": 650
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 0.8810646197488632,
|
| 469 |
+
"grad_norm": 0.4255310425370243,
|
| 470 |
+
"learning_rate": 2.208936706683351e-07,
|
| 471 |
+
"loss": 0.5856,
|
| 472 |
+
"step": 660
|
| 473 |
+
},
|
| 474 |
+
{
|
| 475 |
+
"epoch": 0.8944140836844521,
|
| 476 |
+
"grad_norm": 0.42943616856150774,
|
| 477 |
+
"learning_rate": 1.7555878527937164e-07,
|
| 478 |
+
"loss": 0.5929,
|
| 479 |
+
"step": 670
|
| 480 |
+
},
|
| 481 |
+
{
|
| 482 |
+
"epoch": 0.9077635476200409,
|
| 483 |
+
"grad_norm": 0.41759560647733296,
|
| 484 |
+
"learning_rate": 1.352581219617824e-07,
|
| 485 |
+
"loss": 0.578,
|
| 486 |
+
"step": 680
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"epoch": 0.9211130115556297,
|
| 490 |
+
"grad_norm": 0.41217774020393527,
|
| 491 |
+
"learning_rate": 1.0007896297828113e-07,
|
| 492 |
+
"loss": 0.5815,
|
| 493 |
+
"step": 690
|
| 494 |
+
},
|
| 495 |
+
{
|
| 496 |
+
"epoch": 0.9344624754912185,
|
| 497 |
+
"grad_norm": 0.4305528132965425,
|
| 498 |
+
"learning_rate": 7.009749855363457e-08,
|
| 499 |
+
"loss": 0.5984,
|
| 500 |
+
"step": 700
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 0.9478119394268074,
|
| 504 |
+
"grad_norm": 0.4237537569089471,
|
| 505 |
+
"learning_rate": 4.537866186360207e-08,
|
| 506 |
+
"loss": 0.5797,
|
| 507 |
+
"step": 710
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"epoch": 0.9611614033623962,
|
| 511 |
+
"grad_norm": 0.4354601270782283,
|
| 512 |
+
"learning_rate": 2.59759884041369e-08,
|
| 513 |
+
"loss": 0.5822,
|
| 514 |
+
"step": 720
|
| 515 |
+
},
|
| 516 |
+
{
|
| 517 |
+
"epoch": 0.9745108672979851,
|
| 518 |
+
"grad_norm": 0.4236057022989506,
|
| 519 |
+
"learning_rate": 1.193150004542204e-08,
|
| 520 |
+
"loss": 0.6017,
|
| 521 |
+
"step": 730
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 0.9878603312335739,
|
| 525 |
+
"grad_norm": 0.4253092913652658,
|
| 526 |
+
"learning_rate": 3.275614021857609e-09,
|
| 527 |
+
"loss": 0.5792,
|
| 528 |
+
"step": 740
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"epoch": 1.0,
|
| 532 |
+
"grad_norm": 0.4153479478058976,
|
| 533 |
+
"learning_rate": 2.7077055103075233e-11,
|
| 534 |
+
"loss": 0.5653,
|
| 535 |
+
"step": 750
|
| 536 |
+
},
|
| 537 |
+
{
|
| 538 |
+
"epoch": 1.0,
|
| 539 |
+
"step": 750,
|
| 540 |
+
"total_flos": 9.514760021422899e+17,
|
| 541 |
+
"train_loss": 0.5942036323547363,
|
| 542 |
+
"train_runtime": 26089.1141,
|
| 543 |
+
"train_samples_per_second": 14.701,
|
| 544 |
+
"train_steps_per_second": 0.029
|
| 545 |
+
}
|
| 546 |
+
],
|
| 547 |
+
"logging_steps": 10,
|
| 548 |
+
"max_steps": 750,
|
| 549 |
+
"num_input_tokens_seen": 0,
|
| 550 |
+
"num_train_epochs": 1,
|
| 551 |
+
"save_steps": 250,
|
| 552 |
+
"stateful_callbacks": {
|
| 553 |
+
"TrainerControl": {
|
| 554 |
+
"args": {
|
| 555 |
+
"should_epoch_stop": false,
|
| 556 |
+
"should_evaluate": false,
|
| 557 |
+
"should_log": false,
|
| 558 |
+
"should_save": true,
|
| 559 |
+
"should_training_stop": true
|
| 560 |
+
},
|
| 561 |
+
"attributes": {}
|
| 562 |
+
}
|
| 563 |
+
},
|
| 564 |
+
"total_flos": 9.514760021422899e+17,
|
| 565 |
+
"train_batch_size": 2,
|
| 566 |
+
"trial_name": null,
|
| 567 |
+
"trial_params": null
|
| 568 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fad137bd57106bcc425db1982a265d9cdb67508fd32301ed13eaa826b7122860
|
| 3 |
+
size 8017
|
training_loss.png
ADDED
|
vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|