初始化项目，由ModelHub XC社区提供模型
Model: artificialguybr/llama3-8b-alpacadata-ptbr Source: Original Platform
This commit is contained in:
ModelHub XC
28
checkpoint-90/config.json
Normal file
28
checkpoint-90/config.json
Normal file
@@ -0,0 +1,28 @@
|
||||
{
|
||||
"_name_or_path": "NousResearch/Meta-Llama-3-8B",
|
||||
"architectures": [
|
||||
"LlamaForCausalLM"
|
||||
],
|
||||
"attention_bias": false,
|
||||
"attention_dropout": 0.0,
|
||||
"bos_token_id": 128000,
|
||||
"eos_token_id": 128001,
|
||||
"hidden_act": "silu",
|
||||
"hidden_size": 4096,
|
||||
"initializer_range": 0.02,
|
||||
"intermediate_size": 14336,
|
||||
"max_position_embeddings": 8192,
|
||||
"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": null,
|
||||
"rope_theta": 500000.0,
|
||||
"tie_word_embeddings": false,
|
||||
"torch_dtype": "bfloat16",
|
||||
"transformers_version": "4.40.0.dev0",
|
||||
"use_cache": false,
|
||||
"vocab_size": 128256
|
||||
}
|
||||
7
checkpoint-90/generation_config.json
Normal file
7
checkpoint-90/generation_config.json
Normal file
@@ -0,0 +1,7 @@
|
||||
{
|
||||
"_from_model_config": true,
|
||||
"bos_token_id": 128000,
|
||||
"do_sample": true,
|
||||
"eos_token_id": 128001,
|
||||
"transformers_version": "4.40.0.dev0"
|
||||
}
|
||||
3
checkpoint-90/model-00001-of-00004.safetensors
Normal file
3
checkpoint-90/model-00001-of-00004.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:5bc176bf4a7e3a4b680cf74dc2d1ce2ec4649f5d4ecd0fefb5cd8ba2f96efeca
|
||||
size 4976698672
|
||||
3
checkpoint-90/model-00002-of-00004.safetensors
Normal file
3
checkpoint-90/model-00002-of-00004.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:8f2d2341fdcfdf5242f18914df238201f64de4755e1603c1bf2694c59c3df693
|
||||
size 4999802720
|
||||
3
checkpoint-90/model-00003-of-00004.safetensors
Normal file
3
checkpoint-90/model-00003-of-00004.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:42b554737bcebcb5312f3539c3b529c07c8a501fa3ffcaf21ccf5eedf62bae2f
|
||||
size 4915916176
|
||||
3
checkpoint-90/model-00004-of-00004.safetensors
Normal file
3
checkpoint-90/model-00004-of-00004.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:b7e38cab5e22f7f927b2b24e8cf9902543e0a6a1ab4ced65cec56fec4f99273f
|
||||
size 1168138808
|
||||
298
checkpoint-90/model.safetensors.index.json
Normal file
298
checkpoint-90/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"
|
||||
}
|
||||
}
|
||||
3
checkpoint-90/optimizer.pt
Normal file
3
checkpoint-90/optimizer.pt
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:5f2a0f19218984f1c425b9a91ea940dff7ebd7d296624656fea9dadfa95f1e9f
|
||||
size 16092246776
|
||||
3
checkpoint-90/rng_state.pth
Normal file
3
checkpoint-90/rng_state.pth
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:8d138cfe3a4adf21f048848ee35837c9a757a0a3616ff7adbb45b69aac247435
|
||||
size 14244
|
||||
3
checkpoint-90/scheduler.pt
Normal file
3
checkpoint-90/scheduler.pt
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:0720d6dfee836a6eadcbf864c97a380ace86a2e8beaba0fedf432fc801c02cf5
|
||||
size 1064
|
||||
23
checkpoint-90/special_tokens_map.json
Normal file
23
checkpoint-90/special_tokens_map.json
Normal file
@@ -0,0 +1,23 @@
|
||||
{
|
||||
"bos_token": {
|
||||
"content": "<|begin_of_text|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"eos_token": {
|
||||
"content": "<|end_of_text|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": {
|
||||
"content": "<|end_of_text|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
410503
checkpoint-90/tokenizer.json
Normal file
410503
checkpoint-90/tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
2063
checkpoint-90/tokenizer_config.json
Normal file
2063
checkpoint-90/tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
675
checkpoint-90/trainer_state.json
Normal file
675
checkpoint-90/trainer_state.json
Normal file
@@ -0,0 +1,675 @@
|
||||
{
|
||||
"best_metric": null,
|
||||
"best_model_checkpoint": null,
|
||||
"epoch": 0.994475138121547,
|
||||
"eval_steps": 45,
|
||||
"global_step": 90,
|
||||
"is_hyper_param_search": false,
|
||||
"is_local_process_zero": true,
|
||||
"is_world_process_zero": true,
|
||||
"log_history": [
|
||||
{
|
||||
"epoch": 0.01,
|
||||
"grad_norm": 10.25,
|
||||
"learning_rate": 2.0000000000000002e-07,
|
||||
"loss": 1.382,
|
||||
"step": 1
|
||||
},
|
||||
{
|
||||
"epoch": 0.01,
|
||||
"eval_loss": 1.4056271314620972,
|
||||
"eval_runtime": 26.9519,
|
||||
"eval_samples_per_second": 96.023,
|
||||
"eval_steps_per_second": 96.023,
|
||||
"step": 1
|
||||
},
|
||||
{
|
||||
"epoch": 0.02,
|
||||
"grad_norm": 10.625,
|
||||
"learning_rate": 4.0000000000000003e-07,
|
||||
"loss": 1.3855,
|
||||
"step": 2
|
||||
},
|
||||
{
|
||||
"epoch": 0.03,
|
||||
"grad_norm": 10.625,
|
||||
"learning_rate": 6.000000000000001e-07,
|
||||
"loss": 1.4042,
|
||||
"step": 3
|
||||
},
|
||||
{
|
||||
"epoch": 0.04,
|
||||
"grad_norm": 10.25,
|
||||
"learning_rate": 8.000000000000001e-07,
|
||||
"loss": 1.4277,
|
||||
"step": 4
|
||||
},
|
||||
{
|
||||
"epoch": 0.06,
|
||||
"grad_norm": 10.375,
|
||||
"learning_rate": 1.0000000000000002e-06,
|
||||
"loss": 1.3786,
|
||||
"step": 5
|
||||
},
|
||||
{
|
||||
"epoch": 0.07,
|
||||
"grad_norm": 9.625,
|
||||
"learning_rate": 1.2000000000000002e-06,
|
||||
"loss": 1.3671,
|
||||
"step": 6
|
||||
},
|
||||
{
|
||||
"epoch": 0.08,
|
||||
"grad_norm": 8.8125,
|
||||
"learning_rate": 1.4000000000000001e-06,
|
||||
"loss": 1.3566,
|
||||
"step": 7
|
||||
},
|
||||
{
|
||||
"epoch": 0.09,
|
||||
"grad_norm": 8.5625,
|
||||
"learning_rate": 1.6000000000000001e-06,
|
||||
"loss": 1.3815,
|
||||
"step": 8
|
||||
},
|
||||
{
|
||||
"epoch": 0.1,
|
||||
"grad_norm": 7.46875,
|
||||
"learning_rate": 1.8000000000000001e-06,
|
||||
"loss": 1.3631,
|
||||
"step": 9
|
||||
},
|
||||
{
|
||||
"epoch": 0.11,
|
||||
"grad_norm": 7.28125,
|
||||
"learning_rate": 2.0000000000000003e-06,
|
||||
"loss": 1.358,
|
||||
"step": 10
|
||||
},
|
||||
{
|
||||
"epoch": 0.12,
|
||||
"grad_norm": 6.53125,
|
||||
"learning_rate": 2.2e-06,
|
||||
"loss": 1.3416,
|
||||
"step": 11
|
||||
},
|
||||
{
|
||||
"epoch": 0.13,
|
||||
"grad_norm": 5.46875,
|
||||
"learning_rate": 2.4000000000000003e-06,
|
||||
"loss": 1.3489,
|
||||
"step": 12
|
||||
},
|
||||
{
|
||||
"epoch": 0.14,
|
||||
"grad_norm": 4.90625,
|
||||
"learning_rate": 2.6e-06,
|
||||
"loss": 1.298,
|
||||
"step": 13
|
||||
},
|
||||
{
|
||||
"epoch": 0.15,
|
||||
"grad_norm": 4.75,
|
||||
"learning_rate": 2.8000000000000003e-06,
|
||||
"loss": 1.2632,
|
||||
"step": 14
|
||||
},
|
||||
{
|
||||
"epoch": 0.17,
|
||||
"grad_norm": 4.1875,
|
||||
"learning_rate": 3e-06,
|
||||
"loss": 1.2835,
|
||||
"step": 15
|
||||
},
|
||||
{
|
||||
"epoch": 0.18,
|
||||
"grad_norm": 3.671875,
|
||||
"learning_rate": 3.2000000000000003e-06,
|
||||
"loss": 1.2846,
|
||||
"step": 16
|
||||
},
|
||||
{
|
||||
"epoch": 0.19,
|
||||
"grad_norm": 3.078125,
|
||||
"learning_rate": 3.4000000000000005e-06,
|
||||
"loss": 1.2776,
|
||||
"step": 17
|
||||
},
|
||||
{
|
||||
"epoch": 0.2,
|
||||
"grad_norm": 3.546875,
|
||||
"learning_rate": 3.6000000000000003e-06,
|
||||
"loss": 1.259,
|
||||
"step": 18
|
||||
},
|
||||
{
|
||||
"epoch": 0.21,
|
||||
"grad_norm": 3.71875,
|
||||
"learning_rate": 3.8000000000000005e-06,
|
||||
"loss": 1.235,
|
||||
"step": 19
|
||||
},
|
||||
{
|
||||
"epoch": 0.22,
|
||||
"grad_norm": 4.21875,
|
||||
"learning_rate": 4.000000000000001e-06,
|
||||
"loss": 1.2551,
|
||||
"step": 20
|
||||
},
|
||||
{
|
||||
"epoch": 0.23,
|
||||
"grad_norm": 2.90625,
|
||||
"learning_rate": 4.2000000000000004e-06,
|
||||
"loss": 1.2587,
|
||||
"step": 21
|
||||
},
|
||||
{
|
||||
"epoch": 0.24,
|
||||
"grad_norm": 2.6875,
|
||||
"learning_rate": 4.4e-06,
|
||||
"loss": 1.2888,
|
||||
"step": 22
|
||||
},
|
||||
{
|
||||
"epoch": 0.25,
|
||||
"grad_norm": 3.28125,
|
||||
"learning_rate": 4.600000000000001e-06,
|
||||
"loss": 1.1968,
|
||||
"step": 23
|
||||
},
|
||||
{
|
||||
"epoch": 0.27,
|
||||
"grad_norm": 2.875,
|
||||
"learning_rate": 4.800000000000001e-06,
|
||||
"loss": 1.2625,
|
||||
"step": 24
|
||||
},
|
||||
{
|
||||
"epoch": 0.28,
|
||||
"grad_norm": 2.40625,
|
||||
"learning_rate": 5e-06,
|
||||
"loss": 1.1868,
|
||||
"step": 25
|
||||
},
|
||||
{
|
||||
"epoch": 0.29,
|
||||
"grad_norm": 2.328125,
|
||||
"learning_rate": 5.2e-06,
|
||||
"loss": 1.2694,
|
||||
"step": 26
|
||||
},
|
||||
{
|
||||
"epoch": 0.3,
|
||||
"grad_norm": 2.59375,
|
||||
"learning_rate": 5.400000000000001e-06,
|
||||
"loss": 1.2459,
|
||||
"step": 27
|
||||
},
|
||||
{
|
||||
"epoch": 0.31,
|
||||
"grad_norm": 2.328125,
|
||||
"learning_rate": 5.600000000000001e-06,
|
||||
"loss": 1.2338,
|
||||
"step": 28
|
||||
},
|
||||
{
|
||||
"epoch": 0.32,
|
||||
"grad_norm": 2.125,
|
||||
"learning_rate": 5.8e-06,
|
||||
"loss": 1.2317,
|
||||
"step": 29
|
||||
},
|
||||
{
|
||||
"epoch": 0.33,
|
||||
"grad_norm": 2.171875,
|
||||
"learning_rate": 6e-06,
|
||||
"loss": 1.2246,
|
||||
"step": 30
|
||||
},
|
||||
{
|
||||
"epoch": 0.34,
|
||||
"grad_norm": 2.09375,
|
||||
"learning_rate": 6.200000000000001e-06,
|
||||
"loss": 1.2437,
|
||||
"step": 31
|
||||
},
|
||||
{
|
||||
"epoch": 0.35,
|
||||
"grad_norm": 2.0625,
|
||||
"learning_rate": 6.4000000000000006e-06,
|
||||
"loss": 1.2344,
|
||||
"step": 32
|
||||
},
|
||||
{
|
||||
"epoch": 0.36,
|
||||
"grad_norm": 2.078125,
|
||||
"learning_rate": 6.600000000000001e-06,
|
||||
"loss": 1.2157,
|
||||
"step": 33
|
||||
},
|
||||
{
|
||||
"epoch": 0.38,
|
||||
"grad_norm": 2.171875,
|
||||
"learning_rate": 6.800000000000001e-06,
|
||||
"loss": 1.1672,
|
||||
"step": 34
|
||||
},
|
||||
{
|
||||
"epoch": 0.39,
|
||||
"grad_norm": 2.03125,
|
||||
"learning_rate": 7e-06,
|
||||
"loss": 1.1638,
|
||||
"step": 35
|
||||
},
|
||||
{
|
||||
"epoch": 0.4,
|
||||
"grad_norm": 2.015625,
|
||||
"learning_rate": 7.2000000000000005e-06,
|
||||
"loss": 1.1659,
|
||||
"step": 36
|
||||
},
|
||||
{
|
||||
"epoch": 0.41,
|
||||
"grad_norm": 2.265625,
|
||||
"learning_rate": 7.4e-06,
|
||||
"loss": 1.2027,
|
||||
"step": 37
|
||||
},
|
||||
{
|
||||
"epoch": 0.42,
|
||||
"grad_norm": 2.125,
|
||||
"learning_rate": 7.600000000000001e-06,
|
||||
"loss": 1.2126,
|
||||
"step": 38
|
||||
},
|
||||
{
|
||||
"epoch": 0.43,
|
||||
"grad_norm": 1.921875,
|
||||
"learning_rate": 7.800000000000002e-06,
|
||||
"loss": 1.1615,
|
||||
"step": 39
|
||||
},
|
||||
{
|
||||
"epoch": 0.44,
|
||||
"grad_norm": 2.015625,
|
||||
"learning_rate": 8.000000000000001e-06,
|
||||
"loss": 1.1843,
|
||||
"step": 40
|
||||
},
|
||||
{
|
||||
"epoch": 0.45,
|
||||
"grad_norm": 2.0,
|
||||
"learning_rate": 8.2e-06,
|
||||
"loss": 1.2071,
|
||||
"step": 41
|
||||
},
|
||||
{
|
||||
"epoch": 0.46,
|
||||
"grad_norm": 2.078125,
|
||||
"learning_rate": 8.400000000000001e-06,
|
||||
"loss": 1.1488,
|
||||
"step": 42
|
||||
},
|
||||
{
|
||||
"epoch": 0.48,
|
||||
"grad_norm": 2.015625,
|
||||
"learning_rate": 8.6e-06,
|
||||
"loss": 1.1812,
|
||||
"step": 43
|
||||
},
|
||||
{
|
||||
"epoch": 0.49,
|
||||
"grad_norm": 1.96875,
|
||||
"learning_rate": 8.8e-06,
|
||||
"loss": 1.1694,
|
||||
"step": 44
|
||||
},
|
||||
{
|
||||
"epoch": 0.5,
|
||||
"grad_norm": 2.28125,
|
||||
"learning_rate": 9e-06,
|
||||
"loss": 1.1762,
|
||||
"step": 45
|
||||
},
|
||||
{
|
||||
"epoch": 0.5,
|
||||
"eval_loss": 1.1987459659576416,
|
||||
"eval_runtime": 27.0775,
|
||||
"eval_samples_per_second": 95.578,
|
||||
"eval_steps_per_second": 95.578,
|
||||
"step": 45
|
||||
},
|
||||
{
|
||||
"epoch": 0.51,
|
||||
"grad_norm": 2.015625,
|
||||
"learning_rate": 9.200000000000002e-06,
|
||||
"loss": 1.1775,
|
||||
"step": 46
|
||||
},
|
||||
{
|
||||
"epoch": 0.52,
|
||||
"grad_norm": 2.015625,
|
||||
"learning_rate": 9.4e-06,
|
||||
"loss": 1.1948,
|
||||
"step": 47
|
||||
},
|
||||
{
|
||||
"epoch": 0.53,
|
||||
"grad_norm": 2.03125,
|
||||
"learning_rate": 9.600000000000001e-06,
|
||||
"loss": 1.2011,
|
||||
"step": 48
|
||||
},
|
||||
{
|
||||
"epoch": 0.54,
|
||||
"grad_norm": 1.9375,
|
||||
"learning_rate": 9.800000000000001e-06,
|
||||
"loss": 1.1742,
|
||||
"step": 49
|
||||
},
|
||||
{
|
||||
"epoch": 0.55,
|
||||
"grad_norm": 2.1875,
|
||||
"learning_rate": 1e-05,
|
||||
"loss": 1.1784,
|
||||
"step": 50
|
||||
},
|
||||
{
|
||||
"epoch": 0.56,
|
||||
"grad_norm": 2.109375,
|
||||
"learning_rate": 1.02e-05,
|
||||
"loss": 1.1725,
|
||||
"step": 51
|
||||
},
|
||||
{
|
||||
"epoch": 0.57,
|
||||
"grad_norm": 2.203125,
|
||||
"learning_rate": 1.04e-05,
|
||||
"loss": 1.1532,
|
||||
"step": 52
|
||||
},
|
||||
{
|
||||
"epoch": 0.59,
|
||||
"grad_norm": 2.125,
|
||||
"learning_rate": 1.0600000000000002e-05,
|
||||
"loss": 1.1359,
|
||||
"step": 53
|
||||
},
|
||||
{
|
||||
"epoch": 0.6,
|
||||
"grad_norm": 1.9765625,
|
||||
"learning_rate": 1.0800000000000002e-05,
|
||||
"loss": 1.1602,
|
||||
"step": 54
|
||||
},
|
||||
{
|
||||
"epoch": 0.61,
|
||||
"grad_norm": 2.109375,
|
||||
"learning_rate": 1.1000000000000001e-05,
|
||||
"loss": 1.1536,
|
||||
"step": 55
|
||||
},
|
||||
{
|
||||
"epoch": 0.62,
|
||||
"grad_norm": 1.96875,
|
||||
"learning_rate": 1.1200000000000001e-05,
|
||||
"loss": 1.1599,
|
||||
"step": 56
|
||||
},
|
||||
{
|
||||
"epoch": 0.63,
|
||||
"grad_norm": 2.21875,
|
||||
"learning_rate": 1.14e-05,
|
||||
"loss": 1.1479,
|
||||
"step": 57
|
||||
},
|
||||
{
|
||||
"epoch": 0.64,
|
||||
"grad_norm": 2.25,
|
||||
"learning_rate": 1.16e-05,
|
||||
"loss": 1.1662,
|
||||
"step": 58
|
||||
},
|
||||
{
|
||||
"epoch": 0.65,
|
||||
"grad_norm": 1.984375,
|
||||
"learning_rate": 1.18e-05,
|
||||
"loss": 1.1606,
|
||||
"step": 59
|
||||
},
|
||||
{
|
||||
"epoch": 0.66,
|
||||
"grad_norm": 2.0625,
|
||||
"learning_rate": 1.2e-05,
|
||||
"loss": 1.1694,
|
||||
"step": 60
|
||||
},
|
||||
{
|
||||
"epoch": 0.67,
|
||||
"grad_norm": 2.0625,
|
||||
"learning_rate": 1.22e-05,
|
||||
"loss": 1.1647,
|
||||
"step": 61
|
||||
},
|
||||
{
|
||||
"epoch": 0.69,
|
||||
"grad_norm": 2.1875,
|
||||
"learning_rate": 1.2400000000000002e-05,
|
||||
"loss": 1.1458,
|
||||
"step": 62
|
||||
},
|
||||
{
|
||||
"epoch": 0.7,
|
||||
"grad_norm": 2.015625,
|
||||
"learning_rate": 1.2600000000000001e-05,
|
||||
"loss": 1.1522,
|
||||
"step": 63
|
||||
},
|
||||
{
|
||||
"epoch": 0.71,
|
||||
"grad_norm": 1.859375,
|
||||
"learning_rate": 1.2800000000000001e-05,
|
||||
"loss": 1.1335,
|
||||
"step": 64
|
||||
},
|
||||
{
|
||||
"epoch": 0.72,
|
||||
"grad_norm": 2.09375,
|
||||
"learning_rate": 1.3000000000000001e-05,
|
||||
"loss": 1.1563,
|
||||
"step": 65
|
||||
},
|
||||
{
|
||||
"epoch": 0.73,
|
||||
"grad_norm": 1.8828125,
|
||||
"learning_rate": 1.3200000000000002e-05,
|
||||
"loss": 1.1619,
|
||||
"step": 66
|
||||
},
|
||||
{
|
||||
"epoch": 0.74,
|
||||
"grad_norm": 1.96875,
|
||||
"learning_rate": 1.3400000000000002e-05,
|
||||
"loss": 1.1745,
|
||||
"step": 67
|
||||
},
|
||||
{
|
||||
"epoch": 0.75,
|
||||
"grad_norm": 2.03125,
|
||||
"learning_rate": 1.3600000000000002e-05,
|
||||
"loss": 1.1807,
|
||||
"step": 68
|
||||
},
|
||||
{
|
||||
"epoch": 0.76,
|
||||
"grad_norm": 1.9921875,
|
||||
"learning_rate": 1.38e-05,
|
||||
"loss": 1.168,
|
||||
"step": 69
|
||||
},
|
||||
{
|
||||
"epoch": 0.77,
|
||||
"grad_norm": 2.046875,
|
||||
"learning_rate": 1.4e-05,
|
||||
"loss": 1.1797,
|
||||
"step": 70
|
||||
},
|
||||
{
|
||||
"epoch": 0.78,
|
||||
"grad_norm": 2.0,
|
||||
"learning_rate": 1.4200000000000001e-05,
|
||||
"loss": 1.1521,
|
||||
"step": 71
|
||||
},
|
||||
{
|
||||
"epoch": 0.8,
|
||||
"grad_norm": 1.9453125,
|
||||
"learning_rate": 1.4400000000000001e-05,
|
||||
"loss": 1.1588,
|
||||
"step": 72
|
||||
},
|
||||
{
|
||||
"epoch": 0.81,
|
||||
"grad_norm": 1.9609375,
|
||||
"learning_rate": 1.46e-05,
|
||||
"loss": 1.1476,
|
||||
"step": 73
|
||||
},
|
||||
{
|
||||
"epoch": 0.82,
|
||||
"grad_norm": 2.03125,
|
||||
"learning_rate": 1.48e-05,
|
||||
"loss": 1.1619,
|
||||
"step": 74
|
||||
},
|
||||
{
|
||||
"epoch": 0.83,
|
||||
"grad_norm": 1.96875,
|
||||
"learning_rate": 1.5000000000000002e-05,
|
||||
"loss": 1.134,
|
||||
"step": 75
|
||||
},
|
||||
{
|
||||
"epoch": 0.84,
|
||||
"grad_norm": 2.015625,
|
||||
"learning_rate": 1.5200000000000002e-05,
|
||||
"loss": 1.1719,
|
||||
"step": 76
|
||||
},
|
||||
{
|
||||
"epoch": 0.85,
|
||||
"grad_norm": 2.0,
|
||||
"learning_rate": 1.54e-05,
|
||||
"loss": 1.1329,
|
||||
"step": 77
|
||||
},
|
||||
{
|
||||
"epoch": 0.86,
|
||||
"grad_norm": 1.9765625,
|
||||
"learning_rate": 1.5600000000000003e-05,
|
||||
"loss": 1.138,
|
||||
"step": 78
|
||||
},
|
||||
{
|
||||
"epoch": 0.87,
|
||||
"grad_norm": 1.96875,
|
||||
"learning_rate": 1.58e-05,
|
||||
"loss": 1.1076,
|
||||
"step": 79
|
||||
},
|
||||
{
|
||||
"epoch": 0.88,
|
||||
"grad_norm": 2.078125,
|
||||
"learning_rate": 1.6000000000000003e-05,
|
||||
"loss": 1.1485,
|
||||
"step": 80
|
||||
},
|
||||
{
|
||||
"epoch": 0.9,
|
||||
"grad_norm": 2.0,
|
||||
"learning_rate": 1.62e-05,
|
||||
"loss": 1.1164,
|
||||
"step": 81
|
||||
},
|
||||
{
|
||||
"epoch": 0.91,
|
||||
"grad_norm": 2.0625,
|
||||
"learning_rate": 1.64e-05,
|
||||
"loss": 1.128,
|
||||
"step": 82
|
||||
},
|
||||
{
|
||||
"epoch": 0.92,
|
||||
"grad_norm": 2.015625,
|
||||
"learning_rate": 1.66e-05,
|
||||
"loss": 1.116,
|
||||
"step": 83
|
||||
},
|
||||
{
|
||||
"epoch": 0.93,
|
||||
"grad_norm": 1.890625,
|
||||
"learning_rate": 1.6800000000000002e-05,
|
||||
"loss": 1.1424,
|
||||
"step": 84
|
||||
},
|
||||
{
|
||||
"epoch": 0.94,
|
||||
"grad_norm": 1.9375,
|
||||
"learning_rate": 1.7e-05,
|
||||
"loss": 1.0941,
|
||||
"step": 85
|
||||
},
|
||||
{
|
||||
"epoch": 0.95,
|
||||
"grad_norm": 2.15625,
|
||||
"learning_rate": 1.72e-05,
|
||||
"loss": 1.1392,
|
||||
"step": 86
|
||||
},
|
||||
{
|
||||
"epoch": 0.96,
|
||||
"grad_norm": 2.046875,
|
||||
"learning_rate": 1.7400000000000003e-05,
|
||||
"loss": 1.1303,
|
||||
"step": 87
|
||||
},
|
||||
{
|
||||
"epoch": 0.97,
|
||||
"grad_norm": 2.03125,
|
||||
"learning_rate": 1.76e-05,
|
||||
"loss": 1.1606,
|
||||
"step": 88
|
||||
},
|
||||
{
|
||||
"epoch": 0.98,
|
||||
"grad_norm": 1.9609375,
|
||||
"learning_rate": 1.7800000000000002e-05,
|
||||
"loss": 1.1234,
|
||||
"step": 89
|
||||
},
|
||||
{
|
||||
"epoch": 0.99,
|
||||
"grad_norm": 2.078125,
|
||||
"learning_rate": 1.8e-05,
|
||||
"loss": 1.1294,
|
||||
"step": 90
|
||||
},
|
||||
{
|
||||
"epoch": 0.99,
|
||||
"eval_loss": 1.1493040323257446,
|
||||
"eval_runtime": 27.0758,
|
||||
"eval_samples_per_second": 95.583,
|
||||
"eval_steps_per_second": 95.583,
|
||||
"step": 90
|
||||
}
|
||||
],
|
||||
"logging_steps": 1,
|
||||
"max_steps": 180,
|
||||
"num_input_tokens_seen": 0,
|
||||
"num_train_epochs": 2,
|
||||
"save_steps": 90,
|
||||
"total_flos": 2.6559508138426368e+17,
|
||||
"train_batch_size": 1,
|
||||
"trial_name": null,
|
||||
"trial_params": null
|
||||
}
|
||||
3
checkpoint-90/training_args.bin
Normal file
3
checkpoint-90/training_args.bin
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:e0fdc27db5220d5f47af0520c93bd5ecc605dc87a55ea4f6776c46f34cf66343
|
||||
size 5816
|
||||
Reference in New Issue
Block a user