初始化项目，由ModelHub XC社区提供模型
Model: open-unlearning/tofu_Llama-3.1-8B-Instruct_full Source: Original Platform
This commit is contained in:
ModelHub XC
36
.gitattributes
vendored
Normal file
36
.gitattributes
vendored
Normal file
@@ -0,0 +1,36 @@
|
||||
*.7z filter=lfs diff=lfs merge=lfs -text
|
||||
*.arrow filter=lfs diff=lfs merge=lfs -text
|
||||
*.bin filter=lfs diff=lfs merge=lfs -text
|
||||
*.bz2 filter=lfs diff=lfs merge=lfs -text
|
||||
*.ckpt filter=lfs diff=lfs merge=lfs -text
|
||||
*.ftz filter=lfs diff=lfs merge=lfs -text
|
||||
*.gz filter=lfs diff=lfs merge=lfs -text
|
||||
*.h5 filter=lfs diff=lfs merge=lfs -text
|
||||
*.joblib filter=lfs diff=lfs merge=lfs -text
|
||||
*.lfs.* filter=lfs diff=lfs merge=lfs -text
|
||||
*.mlmodel filter=lfs diff=lfs merge=lfs -text
|
||||
*.model filter=lfs diff=lfs merge=lfs -text
|
||||
*.msgpack filter=lfs diff=lfs merge=lfs -text
|
||||
*.npy filter=lfs diff=lfs merge=lfs -text
|
||||
*.npz filter=lfs diff=lfs merge=lfs -text
|
||||
*.onnx filter=lfs diff=lfs merge=lfs -text
|
||||
*.ot filter=lfs diff=lfs merge=lfs -text
|
||||
*.parquet filter=lfs diff=lfs merge=lfs -text
|
||||
*.pb filter=lfs diff=lfs merge=lfs -text
|
||||
*.pickle filter=lfs diff=lfs merge=lfs -text
|
||||
*.pkl filter=lfs diff=lfs merge=lfs -text
|
||||
*.pt filter=lfs diff=lfs merge=lfs -text
|
||||
*.pth filter=lfs diff=lfs merge=lfs -text
|
||||
*.rar filter=lfs diff=lfs merge=lfs -text
|
||||
*.safetensors filter=lfs diff=lfs merge=lfs -text
|
||||
saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
||||
*.tar.* filter=lfs diff=lfs merge=lfs -text
|
||||
*.tar filter=lfs diff=lfs merge=lfs -text
|
||||
*.tflite filter=lfs diff=lfs merge=lfs -text
|
||||
*.tgz filter=lfs diff=lfs merge=lfs -text
|
||||
*.wasm filter=lfs diff=lfs merge=lfs -text
|
||||
*.xz filter=lfs diff=lfs merge=lfs -text
|
||||
*.zip filter=lfs diff=lfs merge=lfs -text
|
||||
*.zst filter=lfs diff=lfs merge=lfs -text
|
||||
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
||||
tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
||||
40
config.json
Normal file
40
config.json
Normal file
@@ -0,0 +1,40 @@
|
||||
{
|
||||
"_name_or_path": "meta-llama/Llama-3.1-8B-Instruct",
|
||||
"architectures": [
|
||||
"LlamaForCausalLM"
|
||||
],
|
||||
"attention_bias": false,
|
||||
"attention_dropout": 0.0,
|
||||
"bos_token_id": 128000,
|
||||
"eos_token_id": [
|
||||
128001,
|
||||
128008,
|
||||
128009
|
||||
],
|
||||
"head_dim": 128,
|
||||
"hidden_act": "silu",
|
||||
"hidden_size": 4096,
|
||||
"initializer_range": 0.02,
|
||||
"intermediate_size": 14336,
|
||||
"max_position_embeddings": 131072,
|
||||
"mlp_bias": false,
|
||||
"model_type": "llama",
|
||||
"num_attention_heads": 32,
|
||||
"num_hidden_layers": 32,
|
||||
"num_key_value_heads": 8,
|
||||
"pretraining_tp": 1,
|
||||
"rms_norm_eps": 1e-05,
|
||||
"rope_scaling": {
|
||||
"factor": 8.0,
|
||||
"high_freq_factor": 4.0,
|
||||
"low_freq_factor": 1.0,
|
||||
"original_max_position_embeddings": 8192,
|
||||
"rope_type": "llama3"
|
||||
},
|
||||
"rope_theta": 500000.0,
|
||||
"tie_word_embeddings": false,
|
||||
"torch_dtype": "bfloat16",
|
||||
"transformers_version": "4.45.1",
|
||||
"use_cache": true,
|
||||
"vocab_size": 128256
|
||||
}
|
||||
12
generation_config.json
Normal file
12
generation_config.json
Normal file
@@ -0,0 +1,12 @@
|
||||
{
|
||||
"bos_token_id": 128000,
|
||||
"do_sample": true,
|
||||
"eos_token_id": [
|
||||
128001,
|
||||
128008,
|
||||
128009
|
||||
],
|
||||
"temperature": 0.6,
|
||||
"top_p": 0.9,
|
||||
"transformers_version": "4.45.1"
|
||||
}
|
||||
3
model-00001-of-00004.safetensors
Normal file
3
model-00001-of-00004.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:ca6ba2075d2f44d753d2ebb6500958b22c64877344f60786876435b8da048323
|
||||
size 4976698672
|
||||
3
model-00002-of-00004.safetensors
Normal file
3
model-00002-of-00004.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:6959f518e51d8813ea0acc4c89549a80961797bbf68f4e2a5bc1687b930a32d7
|
||||
size 4999802720
|
||||
3
model-00003-of-00004.safetensors
Normal file
3
model-00003-of-00004.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:a75a0a3a2b78a448a01c6ee79f5bead49f66b8ba7a0214674e004f61e182d6ea
|
||||
size 4915916176
|
||||
3
model-00004-of-00004.safetensors
Normal file
3
model-00004-of-00004.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:ee20e004173a2f3bd70aad327c0924b66061b264d80d9ec080df8605381ce5b2
|
||||
size 1168138808
|
||||
298
model.safetensors.index.json
Normal file
298
model.safetensors.index.json
Normal file
@@ -0,0 +1,298 @@
|
||||
{
|
||||
"metadata": {
|
||||
"total_size": 16060522496
|
||||
},
|
||||
"weight_map": {
|
||||
"lm_head.weight": "model-00004-of-00004.safetensors",
|
||||
"model.embed_tokens.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.0.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.10.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.10.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.10.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.10.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.10.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.10.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.10.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.10.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.10.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.11.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.11.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.11.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.11.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.11.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.11.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.11.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.11.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.11.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.12.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.12.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.12.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.12.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.12.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.12.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.12.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.12.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.12.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.13.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.13.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.13.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.13.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.13.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.13.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.13.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.13.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.13.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.14.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.14.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.14.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.14.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.14.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.14.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.14.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.14.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.14.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.15.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.15.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.15.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.15.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.15.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.15.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.15.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.15.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.15.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.16.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.16.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.16.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.16.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.16.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.16.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.16.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.16.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.16.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.17.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.17.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.17.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.17.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.17.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.17.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.17.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.17.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.17.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.18.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.18.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.18.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.18.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.18.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.18.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.18.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.18.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.18.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.19.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.19.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.19.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.19.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.19.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.19.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.19.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.19.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.19.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.2.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.20.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.20.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.20.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.20.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.20.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.20.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.20.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.20.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.20.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.21.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.21.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.21.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.21.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.21.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.21.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.21.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.21.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.21.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.22.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.22.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.22.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.22.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.22.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.22.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.22.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.22.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.22.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.23.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.23.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.23.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.23.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.23.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.23.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.23.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.23.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.23.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.24.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.24.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.24.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.24.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.24.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.24.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.24.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.24.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.24.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.25.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.25.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.25.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.25.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.25.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.25.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.25.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.25.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.25.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.26.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.26.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.26.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.26.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.26.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.26.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.26.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.26.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.26.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.27.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.27.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.27.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.27.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.27.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.27.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.27.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.27.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.27.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.28.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.28.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.28.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.28.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.28.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.28.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.28.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.28.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.28.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.29.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.29.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.29.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.29.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.29.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.29.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.29.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.29.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.29.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.3.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.3.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.30.input_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.30.mlp.down_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.30.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.30.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.30.post_attention_layernorm.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.30.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.30.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.30.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.30.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.31.input_layernorm.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.31.mlp.down_proj.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.31.mlp.gate_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.31.mlp.up_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.31.post_attention_layernorm.weight": "model-00004-of-00004.safetensors",
|
||||
"model.layers.31.self_attn.k_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.31.self_attn.o_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.31.self_attn.q_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.31.self_attn.v_proj.weight": "model-00003-of-00004.safetensors",
|
||||
"model.layers.4.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.4.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.4.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.4.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.4.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.4.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.4.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.5.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.5.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.5.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.5.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.5.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.5.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.5.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.5.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.6.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.6.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.6.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.6.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.6.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.6.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.6.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.6.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.6.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.7.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.7.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.7.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.7.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.7.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.7.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.7.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.7.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.7.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.8.input_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.8.mlp.down_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.8.mlp.gate_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.8.mlp.up_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.8.post_attention_layernorm.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.8.self_attn.k_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.8.self_attn.o_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.8.self_attn.q_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.8.self_attn.v_proj.weight": "model-00001-of-00004.safetensors",
|
||||
"model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.mlp.gate_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.k_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.o_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.weight": "model-00002-of-00004.safetensors",
|
||||
"model.norm.weight": "model-00004-of-00004.safetensors"
|
||||
}
|
||||
}
|
||||
17
special_tokens_map.json
Normal file
17
special_tokens_map.json
Normal file
@@ -0,0 +1,17 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<|begin_of_text|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "<|eot_id|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": "<|eot_id|>"
|
||||
}
|
||||
BIN
tokenizer.json
(Stored with Git LFS)
Normal file
BIN
tokenizer.json
(Stored with Git LFS)
Normal file
Binary file not shown.
2063
tokenizer_config.json
Normal file
2063
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
917
trainer_state.json
Normal file
917
trainer_state.json
Normal file
@@ -0,0 +1,917 @@
|
||||
{
|
||||
"best_metric": null,
|
||||
"best_model_checkpoint": null,
|
||||
"epoch": 5.0,
|
||||
"eval_steps": 500,
|
||||
"global_step": 625,
|
||||
"is_hyper_param_search": false,
|
||||
"is_local_process_zero": true,
|
||||
"is_world_process_zero": true,
|
||||
"log_history": [
|
||||
{
|
||||
"epoch": 0.04,
|
||||
"grad_norm": 74.36213885797416,
|
||||
"learning_rate": 4.0000000000000003e-07,
|
||||
"loss": 2.4845,
|
||||
"step": 5
|
||||
},
|
||||
{
|
||||
"epoch": 0.08,
|
||||
"grad_norm": 39.67273161719237,
|
||||
"learning_rate": 8.000000000000001e-07,
|
||||
"loss": 2.4018,
|
||||
"step": 10
|
||||
},
|
||||
{
|
||||
"epoch": 0.12,
|
||||
"grad_norm": 20.150529644945628,
|
||||
"learning_rate": 1.2000000000000002e-06,
|
||||
"loss": 1.9397,
|
||||
"step": 15
|
||||
},
|
||||
{
|
||||
"epoch": 0.16,
|
||||
"grad_norm": 13.181976118850267,
|
||||
"learning_rate": 1.6000000000000001e-06,
|
||||
"loss": 1.9034,
|
||||
"step": 20
|
||||
},
|
||||
{
|
||||
"epoch": 0.2,
|
||||
"grad_norm": 10.94379061925288,
|
||||
"learning_rate": 2.0000000000000003e-06,
|
||||
"loss": 1.8036,
|
||||
"step": 25
|
||||
},
|
||||
{
|
||||
"epoch": 0.24,
|
||||
"grad_norm": 8.810530457957077,
|
||||
"learning_rate": 2.4000000000000003e-06,
|
||||
"loss": 1.7202,
|
||||
"step": 30
|
||||
},
|
||||
{
|
||||
"epoch": 0.28,
|
||||
"grad_norm": 8.333798663830095,
|
||||
"learning_rate": 2.8000000000000003e-06,
|
||||
"loss": 1.6617,
|
||||
"step": 35
|
||||
},
|
||||
{
|
||||
"epoch": 0.32,
|
||||
"grad_norm": 7.8827996030828755,
|
||||
"learning_rate": 3.2000000000000003e-06,
|
||||
"loss": 1.6441,
|
||||
"step": 40
|
||||
},
|
||||
{
|
||||
"epoch": 0.36,
|
||||
"grad_norm": 8.179799740479577,
|
||||
"learning_rate": 3.6000000000000003e-06,
|
||||
"loss": 1.6148,
|
||||
"step": 45
|
||||
},
|
||||
{
|
||||
"epoch": 0.4,
|
||||
"grad_norm": 7.66501382606033,
|
||||
"learning_rate": 4.000000000000001e-06,
|
||||
"loss": 1.6225,
|
||||
"step": 50
|
||||
},
|
||||
{
|
||||
"epoch": 0.44,
|
||||
"grad_norm": 7.739113034030722,
|
||||
"learning_rate": 4.4e-06,
|
||||
"loss": 1.5815,
|
||||
"step": 55
|
||||
},
|
||||
{
|
||||
"epoch": 0.48,
|
||||
"grad_norm": 7.111168113264018,
|
||||
"learning_rate": 4.800000000000001e-06,
|
||||
"loss": 1.5377,
|
||||
"step": 60
|
||||
},
|
||||
{
|
||||
"epoch": 0.52,
|
||||
"grad_norm": 7.975055982789206,
|
||||
"learning_rate": 5.2e-06,
|
||||
"loss": 1.6093,
|
||||
"step": 65
|
||||
},
|
||||
{
|
||||
"epoch": 0.56,
|
||||
"grad_norm": 7.144438766233695,
|
||||
"learning_rate": 5.600000000000001e-06,
|
||||
"loss": 1.502,
|
||||
"step": 70
|
||||
},
|
||||
{
|
||||
"epoch": 0.6,
|
||||
"grad_norm": 7.236310870559594,
|
||||
"learning_rate": 6e-06,
|
||||
"loss": 1.5343,
|
||||
"step": 75
|
||||
},
|
||||
{
|
||||
"epoch": 0.64,
|
||||
"grad_norm": 7.523450793617325,
|
||||
"learning_rate": 6.4000000000000006e-06,
|
||||
"loss": 1.5301,
|
||||
"step": 80
|
||||
},
|
||||
{
|
||||
"epoch": 0.68,
|
||||
"grad_norm": 7.980798750894632,
|
||||
"learning_rate": 6.800000000000001e-06,
|
||||
"loss": 1.4671,
|
||||
"step": 85
|
||||
},
|
||||
{
|
||||
"epoch": 0.72,
|
||||
"grad_norm": 6.827717260805988,
|
||||
"learning_rate": 7.2000000000000005e-06,
|
||||
"loss": 1.4627,
|
||||
"step": 90
|
||||
},
|
||||
{
|
||||
"epoch": 0.76,
|
||||
"grad_norm": 8.220507882885352,
|
||||
"learning_rate": 7.600000000000001e-06,
|
||||
"loss": 1.455,
|
||||
"step": 95
|
||||
},
|
||||
{
|
||||
"epoch": 0.8,
|
||||
"grad_norm": 7.397242323483418,
|
||||
"learning_rate": 8.000000000000001e-06,
|
||||
"loss": 1.4545,
|
||||
"step": 100
|
||||
},
|
||||
{
|
||||
"epoch": 0.84,
|
||||
"grad_norm": 7.196070444367311,
|
||||
"learning_rate": 8.400000000000001e-06,
|
||||
"loss": 1.5124,
|
||||
"step": 105
|
||||
},
|
||||
{
|
||||
"epoch": 0.88,
|
||||
"grad_norm": 7.054517223111324,
|
||||
"learning_rate": 8.8e-06,
|
||||
"loss": 1.4047,
|
||||
"step": 110
|
||||
},
|
||||
{
|
||||
"epoch": 0.92,
|
||||
"grad_norm": 6.996278030679922,
|
||||
"learning_rate": 9.200000000000002e-06,
|
||||
"loss": 1.4268,
|
||||
"step": 115
|
||||
},
|
||||
{
|
||||
"epoch": 0.96,
|
||||
"grad_norm": 7.454116549484864,
|
||||
"learning_rate": 9.600000000000001e-06,
|
||||
"loss": 1.4034,
|
||||
"step": 120
|
||||
},
|
||||
{
|
||||
"epoch": 1.0,
|
||||
"grad_norm": 7.566580238081964,
|
||||
"learning_rate": 1e-05,
|
||||
"loss": 1.3897,
|
||||
"step": 125
|
||||
},
|
||||
{
|
||||
"epoch": 1.04,
|
||||
"grad_norm": 7.154856076564589,
|
||||
"learning_rate": 9.9e-06,
|
||||
"loss": 1.0826,
|
||||
"step": 130
|
||||
},
|
||||
{
|
||||
"epoch": 1.08,
|
||||
"grad_norm": 8.286911013503115,
|
||||
"learning_rate": 9.800000000000001e-06,
|
||||
"loss": 1.1561,
|
||||
"step": 135
|
||||
},
|
||||
{
|
||||
"epoch": 1.12,
|
||||
"grad_norm": 7.631247621997401,
|
||||
"learning_rate": 9.7e-06,
|
||||
"loss": 1.1072,
|
||||
"step": 140
|
||||
},
|
||||
{
|
||||
"epoch": 1.16,
|
||||
"grad_norm": 8.500550823372908,
|
||||
"learning_rate": 9.600000000000001e-06,
|
||||
"loss": 1.0951,
|
||||
"step": 145
|
||||
},
|
||||
{
|
||||
"epoch": 1.2,
|
||||
"grad_norm": 7.454507377184453,
|
||||
"learning_rate": 9.5e-06,
|
||||
"loss": 1.1116,
|
||||
"step": 150
|
||||
},
|
||||
{
|
||||
"epoch": 1.24,
|
||||
"grad_norm": 7.428620314437955,
|
||||
"learning_rate": 9.4e-06,
|
||||
"loss": 1.0207,
|
||||
"step": 155
|
||||
},
|
||||
{
|
||||
"epoch": 1.28,
|
||||
"grad_norm": 8.223393076186099,
|
||||
"learning_rate": 9.3e-06,
|
||||
"loss": 1.0514,
|
||||
"step": 160
|
||||
},
|
||||
{
|
||||
"epoch": 1.32,
|
||||
"grad_norm": 7.879521076713879,
|
||||
"learning_rate": 9.200000000000002e-06,
|
||||
"loss": 1.0675,
|
||||
"step": 165
|
||||
},
|
||||
{
|
||||
"epoch": 1.3599999999999999,
|
||||
"grad_norm": 7.82982640171081,
|
||||
"learning_rate": 9.100000000000001e-06,
|
||||
"loss": 1.0879,
|
||||
"step": 170
|
||||
},
|
||||
{
|
||||
"epoch": 1.4,
|
||||
"grad_norm": 8.989451594833707,
|
||||
"learning_rate": 9e-06,
|
||||
"loss": 1.0076,
|
||||
"step": 175
|
||||
},
|
||||
{
|
||||
"epoch": 1.44,
|
||||
"grad_norm": 7.607465825565947,
|
||||
"learning_rate": 8.900000000000001e-06,
|
||||
"loss": 1.0912,
|
||||
"step": 180
|
||||
},
|
||||
{
|
||||
"epoch": 1.48,
|
||||
"grad_norm": 6.808939142255241,
|
||||
"learning_rate": 8.8e-06,
|
||||
"loss": 1.1222,
|
||||
"step": 185
|
||||
},
|
||||
{
|
||||
"epoch": 1.52,
|
||||
"grad_norm": 6.871273380383304,
|
||||
"learning_rate": 8.700000000000001e-06,
|
||||
"loss": 1.1153,
|
||||
"step": 190
|
||||
},
|
||||
{
|
||||
"epoch": 1.56,
|
||||
"grad_norm": 6.42305714135536,
|
||||
"learning_rate": 8.6e-06,
|
||||
"loss": 1.0968,
|
||||
"step": 195
|
||||
},
|
||||
{
|
||||
"epoch": 1.6,
|
||||
"grad_norm": 7.365551390055157,
|
||||
"learning_rate": 8.5e-06,
|
||||
"loss": 1.1041,
|
||||
"step": 200
|
||||
},
|
||||
{
|
||||
"epoch": 1.6400000000000001,
|
||||
"grad_norm": 6.501181010961079,
|
||||
"learning_rate": 8.400000000000001e-06,
|
||||
"loss": 1.1329,
|
||||
"step": 205
|
||||
},
|
||||
{
|
||||
"epoch": 1.6800000000000002,
|
||||
"grad_norm": 6.552529498775493,
|
||||
"learning_rate": 8.3e-06,
|
||||
"loss": 1.098,
|
||||
"step": 210
|
||||
},
|
||||
{
|
||||
"epoch": 1.72,
|
||||
"grad_norm": 7.44145270381018,
|
||||
"learning_rate": 8.2e-06,
|
||||
"loss": 1.1073,
|
||||
"step": 215
|
||||
},
|
||||
{
|
||||
"epoch": 1.76,
|
||||
"grad_norm": 7.445925186281827,
|
||||
"learning_rate": 8.1e-06,
|
||||
"loss": 1.0786,
|
||||
"step": 220
|
||||
},
|
||||
{
|
||||
"epoch": 1.8,
|
||||
"grad_norm": 6.470918236887296,
|
||||
"learning_rate": 8.000000000000001e-06,
|
||||
"loss": 1.0866,
|
||||
"step": 225
|
||||
},
|
||||
{
|
||||
"epoch": 1.8399999999999999,
|
||||
"grad_norm": 7.451141320766108,
|
||||
"learning_rate": 7.9e-06,
|
||||
"loss": 1.0708,
|
||||
"step": 230
|
||||
},
|
||||
{
|
||||
"epoch": 1.88,
|
||||
"grad_norm": 6.823703743254816,
|
||||
"learning_rate": 7.800000000000002e-06,
|
||||
"loss": 1.1056,
|
||||
"step": 235
|
||||
},
|
||||
{
|
||||
"epoch": 1.92,
|
||||
"grad_norm": 7.216036429104124,
|
||||
"learning_rate": 7.7e-06,
|
||||
"loss": 1.0981,
|
||||
"step": 240
|
||||
},
|
||||
{
|
||||
"epoch": 1.96,
|
||||
"grad_norm": 6.876174979217876,
|
||||
"learning_rate": 7.600000000000001e-06,
|
||||
"loss": 1.1017,
|
||||
"step": 245
|
||||
},
|
||||
{
|
||||
"epoch": 2.0,
|
||||
"grad_norm": 7.155758238173605,
|
||||
"learning_rate": 7.500000000000001e-06,
|
||||
"loss": 1.1046,
|
||||
"step": 250
|
||||
},
|
||||
{
|
||||
"epoch": 2.04,
|
||||
"grad_norm": 7.85877092193839,
|
||||
"learning_rate": 7.4e-06,
|
||||
"loss": 0.5025,
|
||||
"step": 255
|
||||
},
|
||||
{
|
||||
"epoch": 2.08,
|
||||
"grad_norm": 7.661257288703544,
|
||||
"learning_rate": 7.3e-06,
|
||||
"loss": 0.4367,
|
||||
"step": 260
|
||||
},
|
||||
{
|
||||
"epoch": 2.12,
|
||||
"grad_norm": 6.9436467048385255,
|
||||
"learning_rate": 7.2000000000000005e-06,
|
||||
"loss": 0.4419,
|
||||
"step": 265
|
||||
},
|
||||
{
|
||||
"epoch": 2.16,
|
||||
"grad_norm": 7.998641182806705,
|
||||
"learning_rate": 7.100000000000001e-06,
|
||||
"loss": 0.4168,
|
||||
"step": 270
|
||||
},
|
||||
{
|
||||
"epoch": 2.2,
|
||||
"grad_norm": 8.042641482476647,
|
||||
"learning_rate": 7e-06,
|
||||
"loss": 0.4035,
|
||||
"step": 275
|
||||
},
|
||||
{
|
||||
"epoch": 2.24,
|
||||
"grad_norm": 7.489969246320288,
|
||||
"learning_rate": 6.9e-06,
|
||||
"loss": 0.4606,
|
||||
"step": 280
|
||||
},
|
||||
{
|
||||
"epoch": 2.2800000000000002,
|
||||
"grad_norm": 7.309625541572775,
|
||||
"learning_rate": 6.800000000000001e-06,
|
||||
"loss": 0.4359,
|
||||
"step": 285
|
||||
},
|
||||
{
|
||||
"epoch": 2.32,
|
||||
"grad_norm": 6.966029239110126,
|
||||
"learning_rate": 6.700000000000001e-06,
|
||||
"loss": 0.4594,
|
||||
"step": 290
|
||||
},
|
||||
{
|
||||
"epoch": 2.36,
|
||||
"grad_norm": 8.20184804080824,
|
||||
"learning_rate": 6.600000000000001e-06,
|
||||
"loss": 0.457,
|
||||
"step": 295
|
||||
},
|
||||
{
|
||||
"epoch": 2.4,
|
||||
"grad_norm": 6.643191447925562,
|
||||
"learning_rate": 6.5000000000000004e-06,
|
||||
"loss": 0.4649,
|
||||
"step": 300
|
||||
},
|
||||
{
|
||||
"epoch": 2.44,
|
||||
"grad_norm": 6.348792176644931,
|
||||
"learning_rate": 6.4000000000000006e-06,
|
||||
"loss": 0.4703,
|
||||
"step": 305
|
||||
},
|
||||
{
|
||||
"epoch": 2.48,
|
||||
"grad_norm": 7.780011088149784,
|
||||
"learning_rate": 6.300000000000001e-06,
|
||||
"loss": 0.4431,
|
||||
"step": 310
|
||||
},
|
||||
{
|
||||
"epoch": 2.52,
|
||||
"grad_norm": 7.257146948918763,
|
||||
"learning_rate": 6.200000000000001e-06,
|
||||
"loss": 0.4588,
|
||||
"step": 315
|
||||
},
|
||||
{
|
||||
"epoch": 2.56,
|
||||
"grad_norm": 6.834381610570237,
|
||||
"learning_rate": 6.1e-06,
|
||||
"loss": 0.4415,
|
||||
"step": 320
|
||||
},
|
||||
{
|
||||
"epoch": 2.6,
|
||||
"grad_norm": 8.4320839309944,
|
||||
"learning_rate": 6e-06,
|
||||
"loss": 0.4477,
|
||||
"step": 325
|
||||
},
|
||||
{
|
||||
"epoch": 2.64,
|
||||
"grad_norm": 7.383643354043202,
|
||||
"learning_rate": 5.9e-06,
|
||||
"loss": 0.444,
|
||||
"step": 330
|
||||
},
|
||||
{
|
||||
"epoch": 2.68,
|
||||
"grad_norm": 6.736608657391058,
|
||||
"learning_rate": 5.8e-06,
|
||||
"loss": 0.4713,
|
||||
"step": 335
|
||||
},
|
||||
{
|
||||
"epoch": 2.7199999999999998,
|
||||
"grad_norm": 6.903557247354103,
|
||||
"learning_rate": 5.7e-06,
|
||||
"loss": 0.4755,
|
||||
"step": 340
|
||||
},
|
||||
{
|
||||
"epoch": 2.76,
|
||||
"grad_norm": 7.449013816758464,
|
||||
"learning_rate": 5.600000000000001e-06,
|
||||
"loss": 0.4676,
|
||||
"step": 345
|
||||
},
|
||||
{
|
||||
"epoch": 2.8,
|
||||
"grad_norm": 7.269064130287811,
|
||||
"learning_rate": 5.500000000000001e-06,
|
||||
"loss": 0.4327,
|
||||
"step": 350
|
||||
},
|
||||
{
|
||||
"epoch": 2.84,
|
||||
"grad_norm": 7.787232454809365,
|
||||
"learning_rate": 5.400000000000001e-06,
|
||||
"loss": 0.4643,
|
||||
"step": 355
|
||||
},
|
||||
{
|
||||
"epoch": 2.88,
|
||||
"grad_norm": 7.362964290370686,
|
||||
"learning_rate": 5.300000000000001e-06,
|
||||
"loss": 0.4412,
|
||||
"step": 360
|
||||
},
|
||||
{
|
||||
"epoch": 2.92,
|
||||
"grad_norm": 7.032694441520397,
|
||||
"learning_rate": 5.2e-06,
|
||||
"loss": 0.4702,
|
||||
"step": 365
|
||||
},
|
||||
{
|
||||
"epoch": 2.96,
|
||||
"grad_norm": 7.284333028185562,
|
||||
"learning_rate": 5.1e-06,
|
||||
"loss": 0.4319,
|
||||
"step": 370
|
||||
},
|
||||
{
|
||||
"epoch": 3.0,
|
||||
"grad_norm": 7.682159784477329,
|
||||
"learning_rate": 5e-06,
|
||||
"loss": 0.4638,
|
||||
"step": 375
|
||||
},
|
||||
{
|
||||
"epoch": 3.04,
|
||||
"grad_norm": 4.9934999568853735,
|
||||
"learning_rate": 4.9000000000000005e-06,
|
||||
"loss": 0.1428,
|
||||
"step": 380
|
||||
},
|
||||
{
|
||||
"epoch": 3.08,
|
||||
"grad_norm": 9.668596204370951,
|
||||
"learning_rate": 4.800000000000001e-06,
|
||||
"loss": 0.1218,
|
||||
"step": 385
|
||||
},
|
||||
{
|
||||
"epoch": 3.12,
|
||||
"grad_norm": 8.605762720501982,
|
||||
"learning_rate": 4.7e-06,
|
||||
"loss": 0.1257,
|
||||
"step": 390
|
||||
},
|
||||
{
|
||||
"epoch": 3.16,
|
||||
"grad_norm": 4.616932519177658,
|
||||
"learning_rate": 4.600000000000001e-06,
|
||||
"loss": 0.1123,
|
||||
"step": 395
|
||||
},
|
||||
{
|
||||
"epoch": 3.2,
|
||||
"grad_norm": 4.223096426437425,
|
||||
"learning_rate": 4.5e-06,
|
||||
"loss": 0.125,
|
||||
"step": 400
|
||||
},
|
||||
{
|
||||
"epoch": 3.24,
|
||||
"grad_norm": 4.741695820134459,
|
||||
"learning_rate": 4.4e-06,
|
||||
"loss": 0.1035,
|
||||
"step": 405
|
||||
},
|
||||
{
|
||||
"epoch": 3.2800000000000002,
|
||||
"grad_norm": 7.139756588143166,
|
||||
"learning_rate": 4.3e-06,
|
||||
"loss": 0.1115,
|
||||
"step": 410
|
||||
},
|
||||
{
|
||||
"epoch": 3.32,
|
||||
"grad_norm": 4.795651160027653,
|
||||
"learning_rate": 4.2000000000000004e-06,
|
||||
"loss": 0.1083,
|
||||
"step": 415
|
||||
},
|
||||
{
|
||||
"epoch": 3.36,
|
||||
"grad_norm": 6.202951934260454,
|
||||
"learning_rate": 4.1e-06,
|
||||
"loss": 0.1155,
|
||||
"step": 420
|
||||
},
|
||||
{
|
||||
"epoch": 3.4,
|
||||
"grad_norm": 5.235911849426471,
|
||||
"learning_rate": 4.000000000000001e-06,
|
||||
"loss": 0.1199,
|
||||
"step": 425
|
||||
},
|
||||
{
|
||||
"epoch": 3.44,
|
||||
"grad_norm": 4.9149914998376625,
|
||||
"learning_rate": 3.900000000000001e-06,
|
||||
"loss": 0.1058,
|
||||
"step": 430
|
||||
},
|
||||
{
|
||||
"epoch": 3.48,
|
||||
"grad_norm": 5.192639808949672,
|
||||
"learning_rate": 3.8000000000000005e-06,
|
||||
"loss": 0.1078,
|
||||
"step": 435
|
||||
},
|
||||
{
|
||||
"epoch": 3.52,
|
||||
"grad_norm": 7.311215245491757,
|
||||
"learning_rate": 3.7e-06,
|
||||
"loss": 0.1246,
|
||||
"step": 440
|
||||
},
|
||||
{
|
||||
"epoch": 3.56,
|
||||
"grad_norm": 6.2423727351220695,
|
||||
"learning_rate": 3.6000000000000003e-06,
|
||||
"loss": 0.1061,
|
||||
"step": 445
|
||||
},
|
||||
{
|
||||
"epoch": 3.6,
|
||||
"grad_norm": 4.502900879114336,
|
||||
"learning_rate": 3.5e-06,
|
||||
"loss": 0.1066,
|
||||
"step": 450
|
||||
},
|
||||
{
|
||||
"epoch": 3.64,
|
||||
"grad_norm": 5.964810717622264,
|
||||
"learning_rate": 3.4000000000000005e-06,
|
||||
"loss": 0.1157,
|
||||
"step": 455
|
||||
},
|
||||
{
|
||||
"epoch": 3.68,
|
||||
"grad_norm": 5.420408977697171,
|
||||
"learning_rate": 3.3000000000000006e-06,
|
||||
"loss": 0.1181,
|
||||
"step": 460
|
||||
},
|
||||
{
|
||||
"epoch": 3.7199999999999998,
|
||||
"grad_norm": 7.304951517974589,
|
||||
"learning_rate": 3.2000000000000003e-06,
|
||||
"loss": 0.1196,
|
||||
"step": 465
|
||||
},
|
||||
{
|
||||
"epoch": 3.76,
|
||||
"grad_norm": 5.974977881387938,
|
||||
"learning_rate": 3.1000000000000004e-06,
|
||||
"loss": 0.1058,
|
||||
"step": 470
|
||||
},
|
||||
{
|
||||
"epoch": 3.8,
|
||||
"grad_norm": 4.745290726186264,
|
||||
"learning_rate": 3e-06,
|
||||
"loss": 0.0986,
|
||||
"step": 475
|
||||
},
|
||||
{
|
||||
"epoch": 3.84,
|
||||
"grad_norm": 4.96112390635835,
|
||||
"learning_rate": 2.9e-06,
|
||||
"loss": 0.1024,
|
||||
"step": 480
|
||||
},
|
||||
{
|
||||
"epoch": 3.88,
|
||||
"grad_norm": 6.46999826400111,
|
||||
"learning_rate": 2.8000000000000003e-06,
|
||||
"loss": 0.0993,
|
||||
"step": 485
|
||||
},
|
||||
{
|
||||
"epoch": 3.92,
|
||||
"grad_norm": 5.640502675240828,
|
||||
"learning_rate": 2.7000000000000004e-06,
|
||||
"loss": 0.1154,
|
||||
"step": 490
|
||||
},
|
||||
{
|
||||
"epoch": 3.96,
|
||||
"grad_norm": 5.501055871658701,
|
||||
"learning_rate": 2.6e-06,
|
||||
"loss": 0.1076,
|
||||
"step": 495
|
||||
},
|
||||
{
|
||||
"epoch": 4.0,
|
||||
"grad_norm": 5.4986571598352105,
|
||||
"learning_rate": 2.5e-06,
|
||||
"loss": 0.1241,
|
||||
"step": 500
|
||||
},
|
||||
{
|
||||
"epoch": 4.04,
|
||||
"grad_norm": 2.4114579253174337,
|
||||
"learning_rate": 2.4000000000000003e-06,
|
||||
"loss": 0.0309,
|
||||
"step": 505
|
||||
},
|
||||
{
|
||||
"epoch": 4.08,
|
||||
"grad_norm": 2.8884084439056457,
|
||||
"learning_rate": 2.3000000000000004e-06,
|
||||
"loss": 0.0244,
|
||||
"step": 510
|
||||
},
|
||||
{
|
||||
"epoch": 4.12,
|
||||
"grad_norm": 4.5465721004119555,
|
||||
"learning_rate": 2.2e-06,
|
||||
"loss": 0.0287,
|
||||
"step": 515
|
||||
},
|
||||
{
|
||||
"epoch": 4.16,
|
||||
"grad_norm": 4.069970791770994,
|
||||
"learning_rate": 2.1000000000000002e-06,
|
||||
"loss": 0.0242,
|
||||
"step": 520
|
||||
},
|
||||
{
|
||||
"epoch": 4.2,
|
||||
"grad_norm": 2.5594064719218728,
|
||||
"learning_rate": 2.0000000000000003e-06,
|
||||
"loss": 0.0219,
|
||||
"step": 525
|
||||
},
|
||||
{
|
||||
"epoch": 4.24,
|
||||
"grad_norm": 2.084461486703409,
|
||||
"learning_rate": 1.9000000000000002e-06,
|
||||
"loss": 0.024,
|
||||
"step": 530
|
||||
},
|
||||
{
|
||||
"epoch": 4.28,
|
||||
"grad_norm": 4.105870543616731,
|
||||
"learning_rate": 1.8000000000000001e-06,
|
||||
"loss": 0.0209,
|
||||
"step": 535
|
||||
},
|
||||
{
|
||||
"epoch": 4.32,
|
||||
"grad_norm": 2.9576600895694467,
|
||||
"learning_rate": 1.7000000000000002e-06,
|
||||
"loss": 0.0189,
|
||||
"step": 540
|
||||
},
|
||||
{
|
||||
"epoch": 4.36,
|
||||
"grad_norm": 2.1728366137938258,
|
||||
"learning_rate": 1.6000000000000001e-06,
|
||||
"loss": 0.0246,
|
||||
"step": 545
|
||||
},
|
||||
{
|
||||
"epoch": 4.4,
|
||||
"grad_norm": 3.940768076670595,
|
||||
"learning_rate": 1.5e-06,
|
||||
"loss": 0.0257,
|
||||
"step": 550
|
||||
},
|
||||
{
|
||||
"epoch": 4.44,
|
||||
"grad_norm": 2.788452604038778,
|
||||
"learning_rate": 1.4000000000000001e-06,
|
||||
"loss": 0.0237,
|
||||
"step": 555
|
||||
},
|
||||
{
|
||||
"epoch": 4.48,
|
||||
"grad_norm": 3.4210094679782386,
|
||||
"learning_rate": 1.3e-06,
|
||||
"loss": 0.025,
|
||||
"step": 560
|
||||
},
|
||||
{
|
||||
"epoch": 4.52,
|
||||
"grad_norm": 3.435544937813476,
|
||||
"learning_rate": 1.2000000000000002e-06,
|
||||
"loss": 0.023,
|
||||
"step": 565
|
||||
},
|
||||
{
|
||||
"epoch": 4.5600000000000005,
|
||||
"grad_norm": 4.4129880682113685,
|
||||
"learning_rate": 1.1e-06,
|
||||
"loss": 0.0247,
|
||||
"step": 570
|
||||
},
|
||||
{
|
||||
"epoch": 4.6,
|
||||
"grad_norm": 2.154807219062607,
|
||||
"learning_rate": 1.0000000000000002e-06,
|
||||
"loss": 0.022,
|
||||
"step": 575
|
||||
},
|
||||
{
|
||||
"epoch": 4.64,
|
||||
"grad_norm": 4.257954003696121,
|
||||
"learning_rate": 9.000000000000001e-07,
|
||||
"loss": 0.0207,
|
||||
"step": 580
|
||||
},
|
||||
{
|
||||
"epoch": 4.68,
|
||||
"grad_norm": 3.392435263683145,
|
||||
"learning_rate": 8.000000000000001e-07,
|
||||
"loss": 0.0317,
|
||||
"step": 585
|
||||
},
|
||||
{
|
||||
"epoch": 4.72,
|
||||
"grad_norm": 2.236685274693851,
|
||||
"learning_rate": 7.000000000000001e-07,
|
||||
"loss": 0.0153,
|
||||
"step": 590
|
||||
},
|
||||
{
|
||||
"epoch": 4.76,
|
||||
"grad_norm": 2.3888580946334272,
|
||||
"learning_rate": 6.000000000000001e-07,
|
||||
"loss": 0.0181,
|
||||
"step": 595
|
||||
},
|
||||
{
|
||||
"epoch": 4.8,
|
||||
"grad_norm": 4.438626868025895,
|
||||
"learning_rate": 5.000000000000001e-07,
|
||||
"loss": 0.0185,
|
||||
"step": 600
|
||||
},
|
||||
{
|
||||
"epoch": 4.84,
|
||||
"grad_norm": 2.1185823464478784,
|
||||
"learning_rate": 4.0000000000000003e-07,
|
||||
"loss": 0.0193,
|
||||
"step": 605
|
||||
},
|
||||
{
|
||||
"epoch": 4.88,
|
||||
"grad_norm": 2.037043972837834,
|
||||
"learning_rate": 3.0000000000000004e-07,
|
||||
"loss": 0.0182,
|
||||
"step": 610
|
||||
},
|
||||
{
|
||||
"epoch": 4.92,
|
||||
"grad_norm": 2.580279613193421,
|
||||
"learning_rate": 2.0000000000000002e-07,
|
||||
"loss": 0.0216,
|
||||
"step": 615
|
||||
},
|
||||
{
|
||||
"epoch": 4.96,
|
||||
"grad_norm": 2.1026015102870352,
|
||||
"learning_rate": 1.0000000000000001e-07,
|
||||
"loss": 0.02,
|
||||
"step": 620
|
||||
},
|
||||
{
|
||||
"epoch": 5.0,
|
||||
"grad_norm": 1.9505385193444729,
|
||||
"learning_rate": 0.0,
|
||||
"loss": 0.0185,
|
||||
"step": 625
|
||||
},
|
||||
{
|
||||
"epoch": 5.0,
|
||||
"step": 625,
|
||||
"total_flos": 3401339535360.0,
|
||||
"train_loss": 0.6646418780684471,
|
||||
"train_runtime": 14425.7511,
|
||||
"train_samples_per_second": 1.386,
|
||||
"train_steps_per_second": 0.043
|
||||
}
|
||||
],
|
||||
"logging_steps": 5,
|
||||
"max_steps": 625,
|
||||
"num_input_tokens_seen": 0,
|
||||
"num_train_epochs": 5,
|
||||
"save_steps": 500,
|
||||
"stateful_callbacks": {
|
||||
"TrainerControl": {
|
||||
"args": {
|
||||
"should_epoch_stop": false,
|
||||
"should_evaluate": false,
|
||||
"should_log": false,
|
||||
"should_save": false,
|
||||
"should_training_stop": false
|
||||
},
|
||||
"attributes": {}
|
||||
}
|
||||
},
|
||||
"total_flos": 3401339535360.0,
|
||||
"train_batch_size": 4,
|
||||
"trial_name": null,
|
||||
"trial_params": null
|
||||
}
|
||||
3
training_args.bin
Normal file
3
training_args.bin
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:ecafc0411c02322175ac722d962d0a2cbe96db60dcc5db7393cc9b12f632e533
|
||||
size 6904
|
||||
Reference in New Issue
Block a user