初始化项目,由ModelHub XC社区提供模型
Model: open-unlearning/tofu_Llama-3.2-3B-Instruct_full Source: Original Platform
This commit is contained in:
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-3.2-3B-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": 3072,
|
||||
"initializer_range": 0.02,
|
||||
"intermediate_size": 8192,
|
||||
"max_position_embeddings": 131072,
|
||||
"mlp_bias": false,
|
||||
"model_type": "llama",
|
||||
"num_attention_heads": 24,
|
||||
"num_hidden_layers": 28,
|
||||
"num_key_value_heads": 8,
|
||||
"pretraining_tp": 1,
|
||||
"rms_norm_eps": 1e-05,
|
||||
"rope_scaling": {
|
||||
"factor": 32.0,
|
||||
"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": true,
|
||||
"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-00002.safetensors
Normal file
3
model-00001-of-00002.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:1df6d38cd5203a7b471c81ea7faf9bc8060a7c62061509b15e40274ed2a97360
|
||||
size 4965799096
|
||||
3
model-00002-of-00002.safetensors
Normal file
3
model-00002-of-00002.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:07717b3a4e957e06644332178a1259b3c67a7c1d8c23709d4ec11a4e9c77c05b
|
||||
size 1459729952
|
||||
261
model.safetensors.index.json
Normal file
261
model.safetensors.index.json
Normal file
@@ -0,0 +1,261 @@
|
||||
{
|
||||
"metadata": {
|
||||
"total_size": 6425499648
|
||||
},
|
||||
"weight_map": {
|
||||
"model.embed_tokens.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.10.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.11.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.12.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.13.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.14.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.15.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.16.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.17.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.18.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.19.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.20.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.20.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.20.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.20.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.20.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.20.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.20.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.20.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.20.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.21.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.21.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.21.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.21.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.21.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.21.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.21.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.21.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.21.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.22.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.22.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.22.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.22.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.22.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.22.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.22.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.22.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.22.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.23.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.23.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.23.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.23.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.23.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.23.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.23.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.23.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.23.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.24.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.24.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.24.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.24.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.24.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.24.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.24.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.24.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.24.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.25.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.25.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.25.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.25.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.25.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.25.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.25.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.25.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.25.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.26.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.26.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.26.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.26.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.26.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.26.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.26.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.26.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.26.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.27.input_layernorm.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.27.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.27.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.27.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.27.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.27.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.27.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.27.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.27.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
|
||||
"model.layers.3.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.3.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.3.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.3.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.3.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.4.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.5.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.6.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.7.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.8.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
||||
"model.norm.weight": "model-00002-of-00002.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": 41.78816559094165,
|
||||
"learning_rate": 4.0000000000000003e-07,
|
||||
"loss": 2.6873,
|
||||
"step": 5
|
||||
},
|
||||
{
|
||||
"epoch": 0.08,
|
||||
"grad_norm": 39.21754237441028,
|
||||
"learning_rate": 8.000000000000001e-07,
|
||||
"loss": 2.7176,
|
||||
"step": 10
|
||||
},
|
||||
{
|
||||
"epoch": 0.12,
|
||||
"grad_norm": 22.974790284321642,
|
||||
"learning_rate": 1.2000000000000002e-06,
|
||||
"loss": 2.3479,
|
||||
"step": 15
|
||||
},
|
||||
{
|
||||
"epoch": 0.16,
|
||||
"grad_norm": 12.193951711113014,
|
||||
"learning_rate": 1.6000000000000001e-06,
|
||||
"loss": 2.1946,
|
||||
"step": 20
|
||||
},
|
||||
{
|
||||
"epoch": 0.2,
|
||||
"grad_norm": 8.48073048363401,
|
||||
"learning_rate": 2.0000000000000003e-06,
|
||||
"loss": 2.0089,
|
||||
"step": 25
|
||||
},
|
||||
{
|
||||
"epoch": 0.24,
|
||||
"grad_norm": 8.009682967308724,
|
||||
"learning_rate": 2.4000000000000003e-06,
|
||||
"loss": 1.8835,
|
||||
"step": 30
|
||||
},
|
||||
{
|
||||
"epoch": 0.28,
|
||||
"grad_norm": 7.262025173418669,
|
||||
"learning_rate": 2.8000000000000003e-06,
|
||||
"loss": 1.828,
|
||||
"step": 35
|
||||
},
|
||||
{
|
||||
"epoch": 0.32,
|
||||
"grad_norm": 6.699957497225423,
|
||||
"learning_rate": 3.2000000000000003e-06,
|
||||
"loss": 1.8063,
|
||||
"step": 40
|
||||
},
|
||||
{
|
||||
"epoch": 0.36,
|
||||
"grad_norm": 6.875734140452078,
|
||||
"learning_rate": 3.6000000000000003e-06,
|
||||
"loss": 1.7573,
|
||||
"step": 45
|
||||
},
|
||||
{
|
||||
"epoch": 0.4,
|
||||
"grad_norm": 5.868835010495592,
|
||||
"learning_rate": 4.000000000000001e-06,
|
||||
"loss": 1.7719,
|
||||
"step": 50
|
||||
},
|
||||
{
|
||||
"epoch": 0.44,
|
||||
"grad_norm": 5.7925730718414625,
|
||||
"learning_rate": 4.4e-06,
|
||||
"loss": 1.7059,
|
||||
"step": 55
|
||||
},
|
||||
{
|
||||
"epoch": 0.48,
|
||||
"grad_norm": 5.128809225860081,
|
||||
"learning_rate": 4.800000000000001e-06,
|
||||
"loss": 1.6663,
|
||||
"step": 60
|
||||
},
|
||||
{
|
||||
"epoch": 0.52,
|
||||
"grad_norm": 6.208034423942183,
|
||||
"learning_rate": 5.2e-06,
|
||||
"loss": 1.7238,
|
||||
"step": 65
|
||||
},
|
||||
{
|
||||
"epoch": 0.56,
|
||||
"grad_norm": 5.128178248836628,
|
||||
"learning_rate": 5.600000000000001e-06,
|
||||
"loss": 1.6073,
|
||||
"step": 70
|
||||
},
|
||||
{
|
||||
"epoch": 0.6,
|
||||
"grad_norm": 5.5042579856268175,
|
||||
"learning_rate": 6e-06,
|
||||
"loss": 1.6385,
|
||||
"step": 75
|
||||
},
|
||||
{
|
||||
"epoch": 0.64,
|
||||
"grad_norm": 5.2674329619575095,
|
||||
"learning_rate": 6.4000000000000006e-06,
|
||||
"loss": 1.6172,
|
||||
"step": 80
|
||||
},
|
||||
{
|
||||
"epoch": 0.68,
|
||||
"grad_norm": 5.5549430152486545,
|
||||
"learning_rate": 6.800000000000001e-06,
|
||||
"loss": 1.5542,
|
||||
"step": 85
|
||||
},
|
||||
{
|
||||
"epoch": 0.72,
|
||||
"grad_norm": 5.017683357994054,
|
||||
"learning_rate": 7.2000000000000005e-06,
|
||||
"loss": 1.5514,
|
||||
"step": 90
|
||||
},
|
||||
{
|
||||
"epoch": 0.76,
|
||||
"grad_norm": 5.479487284019013,
|
||||
"learning_rate": 7.600000000000001e-06,
|
||||
"loss": 1.543,
|
||||
"step": 95
|
||||
},
|
||||
{
|
||||
"epoch": 0.8,
|
||||
"grad_norm": 5.439391870721549,
|
||||
"learning_rate": 8.000000000000001e-06,
|
||||
"loss": 1.5409,
|
||||
"step": 100
|
||||
},
|
||||
{
|
||||
"epoch": 0.84,
|
||||
"grad_norm": 5.271016317987487,
|
||||
"learning_rate": 8.400000000000001e-06,
|
||||
"loss": 1.5872,
|
||||
"step": 105
|
||||
},
|
||||
{
|
||||
"epoch": 0.88,
|
||||
"grad_norm": 4.792457492455555,
|
||||
"learning_rate": 8.8e-06,
|
||||
"loss": 1.4757,
|
||||
"step": 110
|
||||
},
|
||||
{
|
||||
"epoch": 0.92,
|
||||
"grad_norm": 5.075344864087474,
|
||||
"learning_rate": 9.200000000000002e-06,
|
||||
"loss": 1.5087,
|
||||
"step": 115
|
||||
},
|
||||
{
|
||||
"epoch": 0.96,
|
||||
"grad_norm": 5.714411823037559,
|
||||
"learning_rate": 9.600000000000001e-06,
|
||||
"loss": 1.4804,
|
||||
"step": 120
|
||||
},
|
||||
{
|
||||
"epoch": 1.0,
|
||||
"grad_norm": 5.444982165844812,
|
||||
"learning_rate": 1e-05,
|
||||
"loss": 1.4646,
|
||||
"step": 125
|
||||
},
|
||||
{
|
||||
"epoch": 1.04,
|
||||
"grad_norm": 5.345841455303372,
|
||||
"learning_rate": 9.9e-06,
|
||||
"loss": 1.2542,
|
||||
"step": 130
|
||||
},
|
||||
{
|
||||
"epoch": 1.08,
|
||||
"grad_norm": 5.840702633242517,
|
||||
"learning_rate": 9.800000000000001e-06,
|
||||
"loss": 1.3528,
|
||||
"step": 135
|
||||
},
|
||||
{
|
||||
"epoch": 1.12,
|
||||
"grad_norm": 5.473939368411626,
|
||||
"learning_rate": 9.7e-06,
|
||||
"loss": 1.2929,
|
||||
"step": 140
|
||||
},
|
||||
{
|
||||
"epoch": 1.16,
|
||||
"grad_norm": 6.376898310400968,
|
||||
"learning_rate": 9.600000000000001e-06,
|
||||
"loss": 1.2723,
|
||||
"step": 145
|
||||
},
|
||||
{
|
||||
"epoch": 1.2,
|
||||
"grad_norm": 5.700427081143242,
|
||||
"learning_rate": 9.5e-06,
|
||||
"loss": 1.2874,
|
||||
"step": 150
|
||||
},
|
||||
{
|
||||
"epoch": 1.24,
|
||||
"grad_norm": 5.462582074919751,
|
||||
"learning_rate": 9.4e-06,
|
||||
"loss": 1.1926,
|
||||
"step": 155
|
||||
},
|
||||
{
|
||||
"epoch": 1.28,
|
||||
"grad_norm": 6.755874022673723,
|
||||
"learning_rate": 9.3e-06,
|
||||
"loss": 1.233,
|
||||
"step": 160
|
||||
},
|
||||
{
|
||||
"epoch": 1.32,
|
||||
"grad_norm": 6.253640966729863,
|
||||
"learning_rate": 9.200000000000002e-06,
|
||||
"loss": 1.2331,
|
||||
"step": 165
|
||||
},
|
||||
{
|
||||
"epoch": 1.3599999999999999,
|
||||
"grad_norm": 5.735570732360772,
|
||||
"learning_rate": 9.100000000000001e-06,
|
||||
"loss": 1.2763,
|
||||
"step": 170
|
||||
},
|
||||
{
|
||||
"epoch": 1.4,
|
||||
"grad_norm": 6.61744366427225,
|
||||
"learning_rate": 9e-06,
|
||||
"loss": 1.171,
|
||||
"step": 175
|
||||
},
|
||||
{
|
||||
"epoch": 1.44,
|
||||
"grad_norm": 6.493064268883384,
|
||||
"learning_rate": 8.900000000000001e-06,
|
||||
"loss": 1.2608,
|
||||
"step": 180
|
||||
},
|
||||
{
|
||||
"epoch": 1.48,
|
||||
"grad_norm": 6.053046894810287,
|
||||
"learning_rate": 8.8e-06,
|
||||
"loss": 1.2761,
|
||||
"step": 185
|
||||
},
|
||||
{
|
||||
"epoch": 1.52,
|
||||
"grad_norm": 5.898509077004065,
|
||||
"learning_rate": 8.700000000000001e-06,
|
||||
"loss": 1.2795,
|
||||
"step": 190
|
||||
},
|
||||
{
|
||||
"epoch": 1.56,
|
||||
"grad_norm": 5.0628507315682825,
|
||||
"learning_rate": 8.6e-06,
|
||||
"loss": 1.2249,
|
||||
"step": 195
|
||||
},
|
||||
{
|
||||
"epoch": 1.6,
|
||||
"grad_norm": 6.031568916132478,
|
||||
"learning_rate": 8.5e-06,
|
||||
"loss": 1.2639,
|
||||
"step": 200
|
||||
},
|
||||
{
|
||||
"epoch": 1.6400000000000001,
|
||||
"grad_norm": 5.464553442725951,
|
||||
"learning_rate": 8.400000000000001e-06,
|
||||
"loss": 1.2662,
|
||||
"step": 205
|
||||
},
|
||||
{
|
||||
"epoch": 1.6800000000000002,
|
||||
"grad_norm": 5.3543725468001115,
|
||||
"learning_rate": 8.3e-06,
|
||||
"loss": 1.2381,
|
||||
"step": 210
|
||||
},
|
||||
{
|
||||
"epoch": 1.72,
|
||||
"grad_norm": 5.526823092037022,
|
||||
"learning_rate": 8.2e-06,
|
||||
"loss": 1.259,
|
||||
"step": 215
|
||||
},
|
||||
{
|
||||
"epoch": 1.76,
|
||||
"grad_norm": 5.872863742249989,
|
||||
"learning_rate": 8.1e-06,
|
||||
"loss": 1.2357,
|
||||
"step": 220
|
||||
},
|
||||
{
|
||||
"epoch": 1.8,
|
||||
"grad_norm": 5.504339080782453,
|
||||
"learning_rate": 8.000000000000001e-06,
|
||||
"loss": 1.218,
|
||||
"step": 225
|
||||
},
|
||||
{
|
||||
"epoch": 1.8399999999999999,
|
||||
"grad_norm": 5.98674025952278,
|
||||
"learning_rate": 7.9e-06,
|
||||
"loss": 1.209,
|
||||
"step": 230
|
||||
},
|
||||
{
|
||||
"epoch": 1.88,
|
||||
"grad_norm": 5.617557990248127,
|
||||
"learning_rate": 7.800000000000002e-06,
|
||||
"loss": 1.2681,
|
||||
"step": 235
|
||||
},
|
||||
{
|
||||
"epoch": 1.92,
|
||||
"grad_norm": 6.0069967626351,
|
||||
"learning_rate": 7.7e-06,
|
||||
"loss": 1.2532,
|
||||
"step": 240
|
||||
},
|
||||
{
|
||||
"epoch": 1.96,
|
||||
"grad_norm": 5.462520707964854,
|
||||
"learning_rate": 7.600000000000001e-06,
|
||||
"loss": 1.2454,
|
||||
"step": 245
|
||||
},
|
||||
{
|
||||
"epoch": 2.0,
|
||||
"grad_norm": 6.507642604511613,
|
||||
"learning_rate": 7.500000000000001e-06,
|
||||
"loss": 1.2465,
|
||||
"step": 250
|
||||
},
|
||||
{
|
||||
"epoch": 2.04,
|
||||
"grad_norm": 4.829636140044014,
|
||||
"learning_rate": 7.4e-06,
|
||||
"loss": 0.8051,
|
||||
"step": 255
|
||||
},
|
||||
{
|
||||
"epoch": 2.08,
|
||||
"grad_norm": 5.4153360645753414,
|
||||
"learning_rate": 7.3e-06,
|
||||
"loss": 0.7526,
|
||||
"step": 260
|
||||
},
|
||||
{
|
||||
"epoch": 2.12,
|
||||
"grad_norm": 6.73555243497204,
|
||||
"learning_rate": 7.2000000000000005e-06,
|
||||
"loss": 0.7706,
|
||||
"step": 265
|
||||
},
|
||||
{
|
||||
"epoch": 2.16,
|
||||
"grad_norm": 6.964399194935617,
|
||||
"learning_rate": 7.100000000000001e-06,
|
||||
"loss": 0.7134,
|
||||
"step": 270
|
||||
},
|
||||
{
|
||||
"epoch": 2.2,
|
||||
"grad_norm": 5.691128251983088,
|
||||
"learning_rate": 7e-06,
|
||||
"loss": 0.6627,
|
||||
"step": 275
|
||||
},
|
||||
{
|
||||
"epoch": 2.24,
|
||||
"grad_norm": 6.5324310006265,
|
||||
"learning_rate": 6.9e-06,
|
||||
"loss": 0.7853,
|
||||
"step": 280
|
||||
},
|
||||
{
|
||||
"epoch": 2.2800000000000002,
|
||||
"grad_norm": 6.24838267796681,
|
||||
"learning_rate": 6.800000000000001e-06,
|
||||
"loss": 0.7301,
|
||||
"step": 285
|
||||
},
|
||||
{
|
||||
"epoch": 2.32,
|
||||
"grad_norm": 6.848868280937794,
|
||||
"learning_rate": 6.700000000000001e-06,
|
||||
"loss": 0.7863,
|
||||
"step": 290
|
||||
},
|
||||
{
|
||||
"epoch": 2.36,
|
||||
"grad_norm": 6.866708142656634,
|
||||
"learning_rate": 6.600000000000001e-06,
|
||||
"loss": 0.7589,
|
||||
"step": 295
|
||||
},
|
||||
{
|
||||
"epoch": 2.4,
|
||||
"grad_norm": 6.399583010880786,
|
||||
"learning_rate": 6.5000000000000004e-06,
|
||||
"loss": 0.7812,
|
||||
"step": 300
|
||||
},
|
||||
{
|
||||
"epoch": 2.44,
|
||||
"grad_norm": 6.473150486550314,
|
||||
"learning_rate": 6.4000000000000006e-06,
|
||||
"loss": 0.7496,
|
||||
"step": 305
|
||||
},
|
||||
{
|
||||
"epoch": 2.48,
|
||||
"grad_norm": 7.27079148738982,
|
||||
"learning_rate": 6.300000000000001e-06,
|
||||
"loss": 0.7357,
|
||||
"step": 310
|
||||
},
|
||||
{
|
||||
"epoch": 2.52,
|
||||
"grad_norm": 6.3863692542883905,
|
||||
"learning_rate": 6.200000000000001e-06,
|
||||
"loss": 0.7405,
|
||||
"step": 315
|
||||
},
|
||||
{
|
||||
"epoch": 2.56,
|
||||
"grad_norm": 5.738425323665883,
|
||||
"learning_rate": 6.1e-06,
|
||||
"loss": 0.715,
|
||||
"step": 320
|
||||
},
|
||||
{
|
||||
"epoch": 2.6,
|
||||
"grad_norm": 7.272206537104772,
|
||||
"learning_rate": 6e-06,
|
||||
"loss": 0.7275,
|
||||
"step": 325
|
||||
},
|
||||
{
|
||||
"epoch": 2.64,
|
||||
"grad_norm": 6.335249993334978,
|
||||
"learning_rate": 5.9e-06,
|
||||
"loss": 0.7293,
|
||||
"step": 330
|
||||
},
|
||||
{
|
||||
"epoch": 2.68,
|
||||
"grad_norm": 6.178406605090851,
|
||||
"learning_rate": 5.8e-06,
|
||||
"loss": 0.7418,
|
||||
"step": 335
|
||||
},
|
||||
{
|
||||
"epoch": 2.7199999999999998,
|
||||
"grad_norm": 6.4438593559241575,
|
||||
"learning_rate": 5.7e-06,
|
||||
"loss": 0.7836,
|
||||
"step": 340
|
||||
},
|
||||
{
|
||||
"epoch": 2.76,
|
||||
"grad_norm": 6.68556487183193,
|
||||
"learning_rate": 5.600000000000001e-06,
|
||||
"loss": 0.7941,
|
||||
"step": 345
|
||||
},
|
||||
{
|
||||
"epoch": 2.8,
|
||||
"grad_norm": 6.236785962358311,
|
||||
"learning_rate": 5.500000000000001e-06,
|
||||
"loss": 0.734,
|
||||
"step": 350
|
||||
},
|
||||
{
|
||||
"epoch": 2.84,
|
||||
"grad_norm": 6.817870091612145,
|
||||
"learning_rate": 5.400000000000001e-06,
|
||||
"loss": 0.7666,
|
||||
"step": 355
|
||||
},
|
||||
{
|
||||
"epoch": 2.88,
|
||||
"grad_norm": 6.402166198855242,
|
||||
"learning_rate": 5.300000000000001e-06,
|
||||
"loss": 0.7343,
|
||||
"step": 360
|
||||
},
|
||||
{
|
||||
"epoch": 2.92,
|
||||
"grad_norm": 6.603573267937269,
|
||||
"learning_rate": 5.2e-06,
|
||||
"loss": 0.7747,
|
||||
"step": 365
|
||||
},
|
||||
{
|
||||
"epoch": 2.96,
|
||||
"grad_norm": 6.391258167495969,
|
||||
"learning_rate": 5.1e-06,
|
||||
"loss": 0.7422,
|
||||
"step": 370
|
||||
},
|
||||
{
|
||||
"epoch": 3.0,
|
||||
"grad_norm": 6.4602886780696736,
|
||||
"learning_rate": 5e-06,
|
||||
"loss": 0.7269,
|
||||
"step": 375
|
||||
},
|
||||
{
|
||||
"epoch": 3.04,
|
||||
"grad_norm": 5.1665130569705155,
|
||||
"learning_rate": 4.9000000000000005e-06,
|
||||
"loss": 0.3794,
|
||||
"step": 380
|
||||
},
|
||||
{
|
||||
"epoch": 3.08,
|
||||
"grad_norm": 10.038102142368922,
|
||||
"learning_rate": 4.800000000000001e-06,
|
||||
"loss": 0.3465,
|
||||
"step": 385
|
||||
},
|
||||
{
|
||||
"epoch": 3.12,
|
||||
"grad_norm": 9.091224220497404,
|
||||
"learning_rate": 4.7e-06,
|
||||
"loss": 0.3184,
|
||||
"step": 390
|
||||
},
|
||||
{
|
||||
"epoch": 3.16,
|
||||
"grad_norm": 5.565125811877338,
|
||||
"learning_rate": 4.600000000000001e-06,
|
||||
"loss": 0.3018,
|
||||
"step": 395
|
||||
},
|
||||
{
|
||||
"epoch": 3.2,
|
||||
"grad_norm": 5.896141152522807,
|
||||
"learning_rate": 4.5e-06,
|
||||
"loss": 0.3344,
|
||||
"step": 400
|
||||
},
|
||||
{
|
||||
"epoch": 3.24,
|
||||
"grad_norm": 7.443395279154662,
|
||||
"learning_rate": 4.4e-06,
|
||||
"loss": 0.3255,
|
||||
"step": 405
|
||||
},
|
||||
{
|
||||
"epoch": 3.2800000000000002,
|
||||
"grad_norm": 8.734524554137987,
|
||||
"learning_rate": 4.3e-06,
|
||||
"loss": 0.3354,
|
||||
"step": 410
|
||||
},
|
||||
{
|
||||
"epoch": 3.32,
|
||||
"grad_norm": 5.90064726923167,
|
||||
"learning_rate": 4.2000000000000004e-06,
|
||||
"loss": 0.3103,
|
||||
"step": 415
|
||||
},
|
||||
{
|
||||
"epoch": 3.36,
|
||||
"grad_norm": 6.893663931007692,
|
||||
"learning_rate": 4.1e-06,
|
||||
"loss": 0.3142,
|
||||
"step": 420
|
||||
},
|
||||
{
|
||||
"epoch": 3.4,
|
||||
"grad_norm": 6.1745958995274055,
|
||||
"learning_rate": 4.000000000000001e-06,
|
||||
"loss": 0.3282,
|
||||
"step": 425
|
||||
},
|
||||
{
|
||||
"epoch": 3.44,
|
||||
"grad_norm": 6.625044961396123,
|
||||
"learning_rate": 3.900000000000001e-06,
|
||||
"loss": 0.3139,
|
||||
"step": 430
|
||||
},
|
||||
{
|
||||
"epoch": 3.48,
|
||||
"grad_norm": 6.66439206341554,
|
||||
"learning_rate": 3.8000000000000005e-06,
|
||||
"loss": 0.2981,
|
||||
"step": 435
|
||||
},
|
||||
{
|
||||
"epoch": 3.52,
|
||||
"grad_norm": 9.626961732011068,
|
||||
"learning_rate": 3.7e-06,
|
||||
"loss": 0.3432,
|
||||
"step": 440
|
||||
},
|
||||
{
|
||||
"epoch": 3.56,
|
||||
"grad_norm": 5.781950416178249,
|
||||
"learning_rate": 3.6000000000000003e-06,
|
||||
"loss": 0.3196,
|
||||
"step": 445
|
||||
},
|
||||
{
|
||||
"epoch": 3.6,
|
||||
"grad_norm": 6.779570337647412,
|
||||
"learning_rate": 3.5e-06,
|
||||
"loss": 0.3186,
|
||||
"step": 450
|
||||
},
|
||||
{
|
||||
"epoch": 3.64,
|
||||
"grad_norm": 6.98198989854906,
|
||||
"learning_rate": 3.4000000000000005e-06,
|
||||
"loss": 0.3211,
|
||||
"step": 455
|
||||
},
|
||||
{
|
||||
"epoch": 3.68,
|
||||
"grad_norm": 6.462458342089892,
|
||||
"learning_rate": 3.3000000000000006e-06,
|
||||
"loss": 0.3413,
|
||||
"step": 460
|
||||
},
|
||||
{
|
||||
"epoch": 3.7199999999999998,
|
||||
"grad_norm": 7.091018339254791,
|
||||
"learning_rate": 3.2000000000000003e-06,
|
||||
"loss": 0.329,
|
||||
"step": 465
|
||||
},
|
||||
{
|
||||
"epoch": 3.76,
|
||||
"grad_norm": 6.769774324850197,
|
||||
"learning_rate": 3.1000000000000004e-06,
|
||||
"loss": 0.3217,
|
||||
"step": 470
|
||||
},
|
||||
{
|
||||
"epoch": 3.8,
|
||||
"grad_norm": 6.564865649203158,
|
||||
"learning_rate": 3e-06,
|
||||
"loss": 0.3071,
|
||||
"step": 475
|
||||
},
|
||||
{
|
||||
"epoch": 3.84,
|
||||
"grad_norm": 7.322161934451888,
|
||||
"learning_rate": 2.9e-06,
|
||||
"loss": 0.3335,
|
||||
"step": 480
|
||||
},
|
||||
{
|
||||
"epoch": 3.88,
|
||||
"grad_norm": 6.791859707490033,
|
||||
"learning_rate": 2.8000000000000003e-06,
|
||||
"loss": 0.3176,
|
||||
"step": 485
|
||||
},
|
||||
{
|
||||
"epoch": 3.92,
|
||||
"grad_norm": 7.265205021493263,
|
||||
"learning_rate": 2.7000000000000004e-06,
|
||||
"loss": 0.3364,
|
||||
"step": 490
|
||||
},
|
||||
{
|
||||
"epoch": 3.96,
|
||||
"grad_norm": 7.172524820435972,
|
||||
"learning_rate": 2.6e-06,
|
||||
"loss": 0.3391,
|
||||
"step": 495
|
||||
},
|
||||
{
|
||||
"epoch": 4.0,
|
||||
"grad_norm": 7.549661412065393,
|
||||
"learning_rate": 2.5e-06,
|
||||
"loss": 0.3152,
|
||||
"step": 500
|
||||
},
|
||||
{
|
||||
"epoch": 4.04,
|
||||
"grad_norm": 4.151346903217664,
|
||||
"learning_rate": 2.4000000000000003e-06,
|
||||
"loss": 0.1282,
|
||||
"step": 505
|
||||
},
|
||||
{
|
||||
"epoch": 4.08,
|
||||
"grad_norm": 6.731712733657434,
|
||||
"learning_rate": 2.3000000000000004e-06,
|
||||
"loss": 0.1074,
|
||||
"step": 510
|
||||
},
|
||||
{
|
||||
"epoch": 4.12,
|
||||
"grad_norm": 7.807784918167321,
|
||||
"learning_rate": 2.2e-06,
|
||||
"loss": 0.1077,
|
||||
"step": 515
|
||||
},
|
||||
{
|
||||
"epoch": 4.16,
|
||||
"grad_norm": 6.847097633499647,
|
||||
"learning_rate": 2.1000000000000002e-06,
|
||||
"loss": 0.0917,
|
||||
"step": 520
|
||||
},
|
||||
{
|
||||
"epoch": 4.2,
|
||||
"grad_norm": 6.134183949410225,
|
||||
"learning_rate": 2.0000000000000003e-06,
|
||||
"loss": 0.1021,
|
||||
"step": 525
|
||||
},
|
||||
{
|
||||
"epoch": 4.24,
|
||||
"grad_norm": 5.319831131391458,
|
||||
"learning_rate": 1.9000000000000002e-06,
|
||||
"loss": 0.103,
|
||||
"step": 530
|
||||
},
|
||||
{
|
||||
"epoch": 4.28,
|
||||
"grad_norm": 7.22929423828226,
|
||||
"learning_rate": 1.8000000000000001e-06,
|
||||
"loss": 0.0917,
|
||||
"step": 535
|
||||
},
|
||||
{
|
||||
"epoch": 4.32,
|
||||
"grad_norm": 5.801510107918174,
|
||||
"learning_rate": 1.7000000000000002e-06,
|
||||
"loss": 0.1018,
|
||||
"step": 540
|
||||
},
|
||||
{
|
||||
"epoch": 4.36,
|
||||
"grad_norm": 6.804190001063543,
|
||||
"learning_rate": 1.6000000000000001e-06,
|
||||
"loss": 0.1059,
|
||||
"step": 545
|
||||
},
|
||||
{
|
||||
"epoch": 4.4,
|
||||
"grad_norm": 6.079686228135889,
|
||||
"learning_rate": 1.5e-06,
|
||||
"loss": 0.0981,
|
||||
"step": 550
|
||||
},
|
||||
{
|
||||
"epoch": 4.44,
|
||||
"grad_norm": 6.728461874646889,
|
||||
"learning_rate": 1.4000000000000001e-06,
|
||||
"loss": 0.0868,
|
||||
"step": 555
|
||||
},
|
||||
{
|
||||
"epoch": 4.48,
|
||||
"grad_norm": 5.1687298425209045,
|
||||
"learning_rate": 1.3e-06,
|
||||
"loss": 0.0901,
|
||||
"step": 560
|
||||
},
|
||||
{
|
||||
"epoch": 4.52,
|
||||
"grad_norm": 6.656136927045494,
|
||||
"learning_rate": 1.2000000000000002e-06,
|
||||
"loss": 0.1011,
|
||||
"step": 565
|
||||
},
|
||||
{
|
||||
"epoch": 4.5600000000000005,
|
||||
"grad_norm": 5.873899340424779,
|
||||
"learning_rate": 1.1e-06,
|
||||
"loss": 0.107,
|
||||
"step": 570
|
||||
},
|
||||
{
|
||||
"epoch": 4.6,
|
||||
"grad_norm": 4.629909324271422,
|
||||
"learning_rate": 1.0000000000000002e-06,
|
||||
"loss": 0.0925,
|
||||
"step": 575
|
||||
},
|
||||
{
|
||||
"epoch": 4.64,
|
||||
"grad_norm": 4.940878561633262,
|
||||
"learning_rate": 9.000000000000001e-07,
|
||||
"loss": 0.1088,
|
||||
"step": 580
|
||||
},
|
||||
{
|
||||
"epoch": 4.68,
|
||||
"grad_norm": 6.322920106401137,
|
||||
"learning_rate": 8.000000000000001e-07,
|
||||
"loss": 0.1028,
|
||||
"step": 585
|
||||
},
|
||||
{
|
||||
"epoch": 4.72,
|
||||
"grad_norm": 4.269422068581224,
|
||||
"learning_rate": 7.000000000000001e-07,
|
||||
"loss": 0.0912,
|
||||
"step": 590
|
||||
},
|
||||
{
|
||||
"epoch": 4.76,
|
||||
"grad_norm": 6.2986335863080205,
|
||||
"learning_rate": 6.000000000000001e-07,
|
||||
"loss": 0.105,
|
||||
"step": 595
|
||||
},
|
||||
{
|
||||
"epoch": 4.8,
|
||||
"grad_norm": 7.766339855517555,
|
||||
"learning_rate": 5.000000000000001e-07,
|
||||
"loss": 0.0993,
|
||||
"step": 600
|
||||
},
|
||||
{
|
||||
"epoch": 4.84,
|
||||
"grad_norm": 5.08726096349937,
|
||||
"learning_rate": 4.0000000000000003e-07,
|
||||
"loss": 0.1075,
|
||||
"step": 605
|
||||
},
|
||||
{
|
||||
"epoch": 4.88,
|
||||
"grad_norm": 5.420727718681749,
|
||||
"learning_rate": 3.0000000000000004e-07,
|
||||
"loss": 0.1013,
|
||||
"step": 610
|
||||
},
|
||||
{
|
||||
"epoch": 4.92,
|
||||
"grad_norm": 4.448103480540091,
|
||||
"learning_rate": 2.0000000000000002e-07,
|
||||
"loss": 0.0949,
|
||||
"step": 615
|
||||
},
|
||||
{
|
||||
"epoch": 4.96,
|
||||
"grad_norm": 4.985038691135613,
|
||||
"learning_rate": 1.0000000000000001e-07,
|
||||
"loss": 0.0923,
|
||||
"step": 620
|
||||
},
|
||||
{
|
||||
"epoch": 5.0,
|
||||
"grad_norm": 5.897377508928938,
|
||||
"learning_rate": 0.0,
|
||||
"loss": 0.0959,
|
||||
"step": 625
|
||||
},
|
||||
{
|
||||
"epoch": 5.0,
|
||||
"step": 625,
|
||||
"total_flos": 2237034848256.0,
|
||||
"train_loss": 0.8430705074310303,
|
||||
"train_runtime": 2010.1374,
|
||||
"train_samples_per_second": 9.95,
|
||||
"train_steps_per_second": 0.311
|
||||
}
|
||||
],
|
||||
"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": 2237034848256.0,
|
||||
"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 sha256:007d0e93f628870eb290146099c34a5558f5f8c04e95ce1c0f52a8b8f67f67b0
|
||||
size 6904
|
||||
Reference in New Issue
Block a user