LitterBrother-Xiao
commited on
init
Browse files- config.json +29 -0
- generation_config.json +6 -0
- model-00001-of-00003.safetensors +3 -0
- model-00002-of-00003.safetensors +3 -0
- model-00003-of-00003.safetensors +3 -0
- model.safetensors.index.json +280 -0
- special_tokens_map.json +17 -0
- tokenizer.json +0 -0
- tokenizer_config.json +34 -0
- trainer_state.json +603 -0
- training_args.bin +3 -0
config.json
ADDED
|
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"LlamaForCausalLM"
|
| 4 |
+
],
|
| 5 |
+
"attention_bias": false,
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"bos_token_id": 100000,
|
| 8 |
+
"eos_token_id": 100001,
|
| 9 |
+
"hidden_act": "silu",
|
| 10 |
+
"hidden_size": 4096,
|
| 11 |
+
"initializer_range": 0.02,
|
| 12 |
+
"intermediate_size": 11008,
|
| 13 |
+
"max_position_embeddings": 4096,
|
| 14 |
+
"mlp_bias": false,
|
| 15 |
+
"model_type": "llama",
|
| 16 |
+
"moe_intermediate_size": 11008,
|
| 17 |
+
"num_attention_heads": 32,
|
| 18 |
+
"num_hidden_layers": 30,
|
| 19 |
+
"num_key_value_heads": 32,
|
| 20 |
+
"pretraining_tp": 1,
|
| 21 |
+
"rms_norm_eps": 1e-06,
|
| 22 |
+
"rope_scaling": null,
|
| 23 |
+
"rope_theta": 10000,
|
| 24 |
+
"tie_word_embeddings": false,
|
| 25 |
+
"torch_dtype": "bfloat16",
|
| 26 |
+
"transformers_version": "4.42.4",
|
| 27 |
+
"use_cache": false,
|
| 28 |
+
"vocab_size": 102400
|
| 29 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"bos_token_id": 100000,
|
| 4 |
+
"eos_token_id": 100001,
|
| 5 |
+
"transformers_version": "4.42.4"
|
| 6 |
+
}
|
model-00001-of-00003.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1e2db620bab6614ed36ce6415237c0569bdae6ded58539fc2c23749e6ea3e608
|
| 3 |
+
size 4987202208
|
model-00002-of-00003.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a3b893e4733ec2bccb30fc81678c8dd6c901298c726643307757a288a7c8ddfa
|
| 3 |
+
size 4980945440
|
model-00003-of-00003.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:41cc5b152df9a75f8730f9a0b9a707e6bf88975fe81926224c102c3c6c96f73b
|
| 3 |
+
size 3852615520
|
model.safetensors.index.json
ADDED
|
@@ -0,0 +1,280 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"metadata": {
|
| 3 |
+
"total_size": 13820731392
|
| 4 |
+
},
|
| 5 |
+
"weight_map": {
|
| 6 |
+
"lm_head.weight": "model-00003-of-00003.safetensors",
|
| 7 |
+
"model.embed_tokens.weight": "model-00001-of-00003.safetensors",
|
| 8 |
+
"model.layers.0.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 9 |
+
"model.layers.0.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
| 10 |
+
"model.layers.0.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
| 11 |
+
"model.layers.0.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
| 12 |
+
"model.layers.0.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 13 |
+
"model.layers.0.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
| 14 |
+
"model.layers.0.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
| 15 |
+
"model.layers.0.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
| 16 |
+
"model.layers.0.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
| 17 |
+
"model.layers.1.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 18 |
+
"model.layers.1.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
| 19 |
+
"model.layers.1.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
| 20 |
+
"model.layers.1.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
| 21 |
+
"model.layers.1.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 22 |
+
"model.layers.1.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
| 23 |
+
"model.layers.1.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
| 24 |
+
"model.layers.1.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
| 25 |
+
"model.layers.1.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
| 26 |
+
"model.layers.10.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 27 |
+
"model.layers.10.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
| 28 |
+
"model.layers.10.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
| 29 |
+
"model.layers.10.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
| 30 |
+
"model.layers.10.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 31 |
+
"model.layers.10.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
| 32 |
+
"model.layers.10.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
| 33 |
+
"model.layers.10.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
| 34 |
+
"model.layers.10.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
| 35 |
+
"model.layers.11.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 36 |
+
"model.layers.11.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
| 37 |
+
"model.layers.11.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
| 38 |
+
"model.layers.11.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
| 39 |
+
"model.layers.11.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 40 |
+
"model.layers.11.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
| 41 |
+
"model.layers.11.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
| 42 |
+
"model.layers.11.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
| 43 |
+
"model.layers.11.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
| 44 |
+
"model.layers.12.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 45 |
+
"model.layers.12.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
| 46 |
+
"model.layers.12.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
| 47 |
+
"model.layers.12.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
| 48 |
+
"model.layers.12.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 49 |
+
"model.layers.12.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
| 50 |
+
"model.layers.12.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
| 51 |
+
"model.layers.12.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
| 52 |
+
"model.layers.12.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
| 53 |
+
"model.layers.13.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 54 |
+
"model.layers.13.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
| 55 |
+
"model.layers.13.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
| 56 |
+
"model.layers.13.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
| 57 |
+
"model.layers.13.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 58 |
+
"model.layers.13.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
| 59 |
+
"model.layers.13.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
| 60 |
+
"model.layers.13.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
| 61 |
+
"model.layers.13.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
| 62 |
+
"model.layers.14.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 63 |
+
"model.layers.14.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
| 64 |
+
"model.layers.14.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
| 65 |
+
"model.layers.14.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
| 66 |
+
"model.layers.14.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 67 |
+
"model.layers.14.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
| 68 |
+
"model.layers.14.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
| 69 |
+
"model.layers.14.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
| 70 |
+
"model.layers.14.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
| 71 |
+
"model.layers.15.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 72 |
+
"model.layers.15.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
| 73 |
+
"model.layers.15.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
| 74 |
+
"model.layers.15.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
| 75 |
+
"model.layers.15.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 76 |
+
"model.layers.15.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
| 77 |
+
"model.layers.15.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
| 78 |
+
"model.layers.15.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
| 79 |
+
"model.layers.15.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
| 80 |
+
"model.layers.16.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 81 |
+
"model.layers.16.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
| 82 |
+
"model.layers.16.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
| 83 |
+
"model.layers.16.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
| 84 |
+
"model.layers.16.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 85 |
+
"model.layers.16.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
| 86 |
+
"model.layers.16.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
| 87 |
+
"model.layers.16.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
| 88 |
+
"model.layers.16.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
| 89 |
+
"model.layers.17.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 90 |
+
"model.layers.17.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
| 91 |
+
"model.layers.17.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
| 92 |
+
"model.layers.17.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
| 93 |
+
"model.layers.17.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 94 |
+
"model.layers.17.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
| 95 |
+
"model.layers.17.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
| 96 |
+
"model.layers.17.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
| 97 |
+
"model.layers.17.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
| 98 |
+
"model.layers.18.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 99 |
+
"model.layers.18.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
| 100 |
+
"model.layers.18.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
| 101 |
+
"model.layers.18.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
| 102 |
+
"model.layers.18.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 103 |
+
"model.layers.18.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
| 104 |
+
"model.layers.18.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
| 105 |
+
"model.layers.18.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
| 106 |
+
"model.layers.18.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
| 107 |
+
"model.layers.19.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 108 |
+
"model.layers.19.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
| 109 |
+
"model.layers.19.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
| 110 |
+
"model.layers.19.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
| 111 |
+
"model.layers.19.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 112 |
+
"model.layers.19.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
| 113 |
+
"model.layers.19.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
| 114 |
+
"model.layers.19.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
| 115 |
+
"model.layers.19.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
| 116 |
+
"model.layers.2.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 117 |
+
"model.layers.2.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
| 118 |
+
"model.layers.2.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
| 119 |
+
"model.layers.2.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
| 120 |
+
"model.layers.2.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 121 |
+
"model.layers.2.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
| 122 |
+
"model.layers.2.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
| 123 |
+
"model.layers.2.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
| 124 |
+
"model.layers.2.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
| 125 |
+
"model.layers.20.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 126 |
+
"model.layers.20.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
| 127 |
+
"model.layers.20.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
| 128 |
+
"model.layers.20.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
| 129 |
+
"model.layers.20.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 130 |
+
"model.layers.20.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
| 131 |
+
"model.layers.20.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
| 132 |
+
"model.layers.20.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
| 133 |
+
"model.layers.20.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
| 134 |
+
"model.layers.21.input_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 135 |
+
"model.layers.21.mlp.down_proj.weight": "model-00002-of-00003.safetensors",
|
| 136 |
+
"model.layers.21.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
| 137 |
+
"model.layers.21.mlp.up_proj.weight": "model-00002-of-00003.safetensors",
|
| 138 |
+
"model.layers.21.post_attention_layernorm.weight": "model-00002-of-00003.safetensors",
|
| 139 |
+
"model.layers.21.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
| 140 |
+
"model.layers.21.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
| 141 |
+
"model.layers.21.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
| 142 |
+
"model.layers.21.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
| 143 |
+
"model.layers.22.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
| 144 |
+
"model.layers.22.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
| 145 |
+
"model.layers.22.mlp.gate_proj.weight": "model-00002-of-00003.safetensors",
|
| 146 |
+
"model.layers.22.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
| 147 |
+
"model.layers.22.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
| 148 |
+
"model.layers.22.self_attn.k_proj.weight": "model-00002-of-00003.safetensors",
|
| 149 |
+
"model.layers.22.self_attn.o_proj.weight": "model-00002-of-00003.safetensors",
|
| 150 |
+
"model.layers.22.self_attn.q_proj.weight": "model-00002-of-00003.safetensors",
|
| 151 |
+
"model.layers.22.self_attn.v_proj.weight": "model-00002-of-00003.safetensors",
|
| 152 |
+
"model.layers.23.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
| 153 |
+
"model.layers.23.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
| 154 |
+
"model.layers.23.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
| 155 |
+
"model.layers.23.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
| 156 |
+
"model.layers.23.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
| 157 |
+
"model.layers.23.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
| 158 |
+
"model.layers.23.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
| 159 |
+
"model.layers.23.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
| 160 |
+
"model.layers.23.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
| 161 |
+
"model.layers.24.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
| 162 |
+
"model.layers.24.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
| 163 |
+
"model.layers.24.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
| 164 |
+
"model.layers.24.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
| 165 |
+
"model.layers.24.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
| 166 |
+
"model.layers.24.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
| 167 |
+
"model.layers.24.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
| 168 |
+
"model.layers.24.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
| 169 |
+
"model.layers.24.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
| 170 |
+
"model.layers.25.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
| 171 |
+
"model.layers.25.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
| 172 |
+
"model.layers.25.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
| 173 |
+
"model.layers.25.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
| 174 |
+
"model.layers.25.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
| 175 |
+
"model.layers.25.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
| 176 |
+
"model.layers.25.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
| 177 |
+
"model.layers.25.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
| 178 |
+
"model.layers.25.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
| 179 |
+
"model.layers.26.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
| 180 |
+
"model.layers.26.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
| 181 |
+
"model.layers.26.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
| 182 |
+
"model.layers.26.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
| 183 |
+
"model.layers.26.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
| 184 |
+
"model.layers.26.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
| 185 |
+
"model.layers.26.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
| 186 |
+
"model.layers.26.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
| 187 |
+
"model.layers.26.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
| 188 |
+
"model.layers.27.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
| 189 |
+
"model.layers.27.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
| 190 |
+
"model.layers.27.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
| 191 |
+
"model.layers.27.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
| 192 |
+
"model.layers.27.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
| 193 |
+
"model.layers.27.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
| 194 |
+
"model.layers.27.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
| 195 |
+
"model.layers.27.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
| 196 |
+
"model.layers.27.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
| 197 |
+
"model.layers.28.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
| 198 |
+
"model.layers.28.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
| 199 |
+
"model.layers.28.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
| 200 |
+
"model.layers.28.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
| 201 |
+
"model.layers.28.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
| 202 |
+
"model.layers.28.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
| 203 |
+
"model.layers.28.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
| 204 |
+
"model.layers.28.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
| 205 |
+
"model.layers.28.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
| 206 |
+
"model.layers.29.input_layernorm.weight": "model-00003-of-00003.safetensors",
|
| 207 |
+
"model.layers.29.mlp.down_proj.weight": "model-00003-of-00003.safetensors",
|
| 208 |
+
"model.layers.29.mlp.gate_proj.weight": "model-00003-of-00003.safetensors",
|
| 209 |
+
"model.layers.29.mlp.up_proj.weight": "model-00003-of-00003.safetensors",
|
| 210 |
+
"model.layers.29.post_attention_layernorm.weight": "model-00003-of-00003.safetensors",
|
| 211 |
+
"model.layers.29.self_attn.k_proj.weight": "model-00003-of-00003.safetensors",
|
| 212 |
+
"model.layers.29.self_attn.o_proj.weight": "model-00003-of-00003.safetensors",
|
| 213 |
+
"model.layers.29.self_attn.q_proj.weight": "model-00003-of-00003.safetensors",
|
| 214 |
+
"model.layers.29.self_attn.v_proj.weight": "model-00003-of-00003.safetensors",
|
| 215 |
+
"model.layers.3.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 216 |
+
"model.layers.3.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
| 217 |
+
"model.layers.3.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
| 218 |
+
"model.layers.3.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
| 219 |
+
"model.layers.3.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 220 |
+
"model.layers.3.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
| 221 |
+
"model.layers.3.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
| 222 |
+
"model.layers.3.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
| 223 |
+
"model.layers.3.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
| 224 |
+
"model.layers.4.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 225 |
+
"model.layers.4.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
| 226 |
+
"model.layers.4.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
| 227 |
+
"model.layers.4.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
| 228 |
+
"model.layers.4.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 229 |
+
"model.layers.4.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
| 230 |
+
"model.layers.4.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
| 231 |
+
"model.layers.4.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
| 232 |
+
"model.layers.4.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
| 233 |
+
"model.layers.5.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 234 |
+
"model.layers.5.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
| 235 |
+
"model.layers.5.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
| 236 |
+
"model.layers.5.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
| 237 |
+
"model.layers.5.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 238 |
+
"model.layers.5.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
| 239 |
+
"model.layers.5.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
| 240 |
+
"model.layers.5.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
| 241 |
+
"model.layers.5.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
| 242 |
+
"model.layers.6.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 243 |
+
"model.layers.6.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
| 244 |
+
"model.layers.6.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
| 245 |
+
"model.layers.6.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
| 246 |
+
"model.layers.6.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 247 |
+
"model.layers.6.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
| 248 |
+
"model.layers.6.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
| 249 |
+
"model.layers.6.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
| 250 |
+
"model.layers.6.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
| 251 |
+
"model.layers.7.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 252 |
+
"model.layers.7.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
| 253 |
+
"model.layers.7.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
| 254 |
+
"model.layers.7.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
| 255 |
+
"model.layers.7.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 256 |
+
"model.layers.7.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
| 257 |
+
"model.layers.7.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
| 258 |
+
"model.layers.7.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
| 259 |
+
"model.layers.7.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
| 260 |
+
"model.layers.8.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 261 |
+
"model.layers.8.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
| 262 |
+
"model.layers.8.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
| 263 |
+
"model.layers.8.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
| 264 |
+
"model.layers.8.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 265 |
+
"model.layers.8.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
| 266 |
+
"model.layers.8.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
| 267 |
+
"model.layers.8.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
| 268 |
+
"model.layers.8.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
| 269 |
+
"model.layers.9.input_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 270 |
+
"model.layers.9.mlp.down_proj.weight": "model-00001-of-00003.safetensors",
|
| 271 |
+
"model.layers.9.mlp.gate_proj.weight": "model-00001-of-00003.safetensors",
|
| 272 |
+
"model.layers.9.mlp.up_proj.weight": "model-00001-of-00003.safetensors",
|
| 273 |
+
"model.layers.9.post_attention_layernorm.weight": "model-00001-of-00003.safetensors",
|
| 274 |
+
"model.layers.9.self_attn.k_proj.weight": "model-00001-of-00003.safetensors",
|
| 275 |
+
"model.layers.9.self_attn.o_proj.weight": "model-00001-of-00003.safetensors",
|
| 276 |
+
"model.layers.9.self_attn.q_proj.weight": "model-00001-of-00003.safetensors",
|
| 277 |
+
"model.layers.9.self_attn.v_proj.weight": "model-00001-of-00003.safetensors",
|
| 278 |
+
"model.norm.weight": "model-00003-of-00003.safetensors"
|
| 279 |
+
}
|
| 280 |
+
}
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,17 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<|begin▁of▁sentence|>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": true,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "<|end▁of▁sentence|>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": true,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": "<|end▁of▁sentence|>"
|
| 17 |
+
}
|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": true,
|
| 3 |
+
"add_eos_token": false,
|
| 4 |
+
"add_prefix_space": null,
|
| 5 |
+
"added_tokens_decoder": {
|
| 6 |
+
"100000": {
|
| 7 |
+
"content": "<|begin▁of▁sentence|>",
|
| 8 |
+
"lstrip": false,
|
| 9 |
+
"normalized": true,
|
| 10 |
+
"rstrip": false,
|
| 11 |
+
"single_word": false,
|
| 12 |
+
"special": true
|
| 13 |
+
},
|
| 14 |
+
"100001": {
|
| 15 |
+
"content": "<|end▁of▁sentence|>",
|
| 16 |
+
"lstrip": false,
|
| 17 |
+
"normalized": true,
|
| 18 |
+
"rstrip": false,
|
| 19 |
+
"single_word": false,
|
| 20 |
+
"special": true
|
| 21 |
+
}
|
| 22 |
+
},
|
| 23 |
+
"bos_token": "<|begin▁of▁sentence|>",
|
| 24 |
+
"chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{{ bos_token }}{% for message in messages %}{% if message['role'] == 'user' %}{{ 'User: ' + message['content'] + '\n\n' }}{% elif message['role'] == 'assistant' %}{{ 'Assistant: ' + message['content'] + eos_token }}{% elif message['role'] == 'system' %}{{ message['content'] + '\n\n' }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ 'Assistant:' }}{% endif %}",
|
| 25 |
+
"clean_up_tokenization_spaces": false,
|
| 26 |
+
"eos_token": "<|end▁of▁sentence|>",
|
| 27 |
+
"legacy": true,
|
| 28 |
+
"model_max_length": 1024,
|
| 29 |
+
"pad_token": "<|end▁of▁sentence|>",
|
| 30 |
+
"sp_model_kwargs": {},
|
| 31 |
+
"tokenizer_class": "LlamaTokenizer",
|
| 32 |
+
"unk_token": null,
|
| 33 |
+
"use_default_system_prompt": false
|
| 34 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,603 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 0.9967637540453075,
|
| 5 |
+
"eval_steps": 100,
|
| 6 |
+
"global_step": 77,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.025889967637540454,
|
| 13 |
+
"grad_norm": 9.941023016098997,
|
| 14 |
+
"learning_rate": 5e-08,
|
| 15 |
+
"logits/chosen": 34.564327239990234,
|
| 16 |
+
"logits/rejected": 21.430946350097656,
|
| 17 |
+
"logps/chosen": -193.26638793945312,
|
| 18 |
+
"logps/rejected": -169.8800506591797,
|
| 19 |
+
"loss": 0.7032,
|
| 20 |
+
"rewards/accuracies": 0.46875,
|
| 21 |
+
"rewards/chosen": 0.005037403665482998,
|
| 22 |
+
"rewards/margins": -0.0025963345542550087,
|
| 23 |
+
"rewards/rejected": 0.007633737754076719,
|
| 24 |
+
"step": 2
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.05177993527508091,
|
| 28 |
+
"grad_norm": 9.84426167557295,
|
| 29 |
+
"learning_rate": 1e-07,
|
| 30 |
+
"logits/chosen": 34.75300598144531,
|
| 31 |
+
"logits/rejected": 25.311954498291016,
|
| 32 |
+
"logps/chosen": -189.80618286132812,
|
| 33 |
+
"logps/rejected": -129.24330139160156,
|
| 34 |
+
"loss": 0.6961,
|
| 35 |
+
"rewards/accuracies": 0.484375,
|
| 36 |
+
"rewards/chosen": -0.003958990331739187,
|
| 37 |
+
"rewards/margins": 0.0072118965908885,
|
| 38 |
+
"rewards/rejected": -0.011170885525643826,
|
| 39 |
+
"step": 4
|
| 40 |
+
},
|
| 41 |
+
{
|
| 42 |
+
"epoch": 0.07766990291262135,
|
| 43 |
+
"grad_norm": 9.460230767868643,
|
| 44 |
+
"learning_rate": 1.5e-07,
|
| 45 |
+
"logits/chosen": 37.28773498535156,
|
| 46 |
+
"logits/rejected": 27.513395309448242,
|
| 47 |
+
"logps/chosen": -206.36117553710938,
|
| 48 |
+
"logps/rejected": -171.872802734375,
|
| 49 |
+
"loss": 0.6974,
|
| 50 |
+
"rewards/accuracies": 0.53125,
|
| 51 |
+
"rewards/chosen": -0.034006692469120026,
|
| 52 |
+
"rewards/margins": -0.018697379156947136,
|
| 53 |
+
"rewards/rejected": -0.015309315174818039,
|
| 54 |
+
"step": 6
|
| 55 |
+
},
|
| 56 |
+
{
|
| 57 |
+
"epoch": 0.10355987055016182,
|
| 58 |
+
"grad_norm": 10.186609614004015,
|
| 59 |
+
"learning_rate": 2e-07,
|
| 60 |
+
"logits/chosen": 36.74854278564453,
|
| 61 |
+
"logits/rejected": 31.93742561340332,
|
| 62 |
+
"logps/chosen": -184.870361328125,
|
| 63 |
+
"logps/rejected": -124.89741516113281,
|
| 64 |
+
"loss": 0.6975,
|
| 65 |
+
"rewards/accuracies": 0.46875,
|
| 66 |
+
"rewards/chosen": -0.013519443571567535,
|
| 67 |
+
"rewards/margins": -0.024582354351878166,
|
| 68 |
+
"rewards/rejected": 0.011062909848988056,
|
| 69 |
+
"step": 8
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"epoch": 0.12944983818770225,
|
| 73 |
+
"grad_norm": 9.457766196917632,
|
| 74 |
+
"learning_rate": 2.5e-07,
|
| 75 |
+
"logits/chosen": 36.366363525390625,
|
| 76 |
+
"logits/rejected": 29.217514038085938,
|
| 77 |
+
"logps/chosen": -189.72547912597656,
|
| 78 |
+
"logps/rejected": -133.34400939941406,
|
| 79 |
+
"loss": 0.6916,
|
| 80 |
+
"rewards/accuracies": 0.484375,
|
| 81 |
+
"rewards/chosen": 0.003550291759893298,
|
| 82 |
+
"rewards/margins": -0.00579411955550313,
|
| 83 |
+
"rewards/rejected": 0.009344411082565784,
|
| 84 |
+
"step": 10
|
| 85 |
+
},
|
| 86 |
+
{
|
| 87 |
+
"epoch": 0.1553398058252427,
|
| 88 |
+
"grad_norm": 9.820715630245564,
|
| 89 |
+
"learning_rate": 3e-07,
|
| 90 |
+
"logits/chosen": 35.559329986572266,
|
| 91 |
+
"logits/rejected": 24.949851989746094,
|
| 92 |
+
"logps/chosen": -191.26722717285156,
|
| 93 |
+
"logps/rejected": -136.72520446777344,
|
| 94 |
+
"loss": 0.6927,
|
| 95 |
+
"rewards/accuracies": 0.546875,
|
| 96 |
+
"rewards/chosen": 0.020757507532835007,
|
| 97 |
+
"rewards/margins": 0.039941225200891495,
|
| 98 |
+
"rewards/rejected": -0.019183719530701637,
|
| 99 |
+
"step": 12
|
| 100 |
+
},
|
| 101 |
+
{
|
| 102 |
+
"epoch": 0.18122977346278318,
|
| 103 |
+
"grad_norm": 10.000904242116592,
|
| 104 |
+
"learning_rate": 3.5e-07,
|
| 105 |
+
"logits/chosen": 36.79935073852539,
|
| 106 |
+
"logits/rejected": 26.168617248535156,
|
| 107 |
+
"logps/chosen": -189.4495849609375,
|
| 108 |
+
"logps/rejected": -138.61245727539062,
|
| 109 |
+
"loss": 0.7015,
|
| 110 |
+
"rewards/accuracies": 0.453125,
|
| 111 |
+
"rewards/chosen": 0.0028548368718475103,
|
| 112 |
+
"rewards/margins": 0.00897835474461317,
|
| 113 |
+
"rewards/rejected": -0.006123516708612442,
|
| 114 |
+
"step": 14
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.20711974110032363,
|
| 118 |
+
"grad_norm": 9.798236588997984,
|
| 119 |
+
"learning_rate": 4e-07,
|
| 120 |
+
"logits/chosen": 38.9239387512207,
|
| 121 |
+
"logits/rejected": 30.127975463867188,
|
| 122 |
+
"logps/chosen": -193.46170043945312,
|
| 123 |
+
"logps/rejected": -136.24960327148438,
|
| 124 |
+
"loss": 0.699,
|
| 125 |
+
"rewards/accuracies": 0.40625,
|
| 126 |
+
"rewards/chosen": -0.002874697558581829,
|
| 127 |
+
"rewards/margins": -0.022318758070468903,
|
| 128 |
+
"rewards/rejected": 0.0194440595805645,
|
| 129 |
+
"step": 16
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.23300970873786409,
|
| 133 |
+
"grad_norm": 9.959562684371269,
|
| 134 |
+
"learning_rate": 4.5e-07,
|
| 135 |
+
"logits/chosen": 34.25529479980469,
|
| 136 |
+
"logits/rejected": 25.71901512145996,
|
| 137 |
+
"logps/chosen": -204.4850616455078,
|
| 138 |
+
"logps/rejected": -169.4137725830078,
|
| 139 |
+
"loss": 0.6928,
|
| 140 |
+
"rewards/accuracies": 0.453125,
|
| 141 |
+
"rewards/chosen": 0.02741333469748497,
|
| 142 |
+
"rewards/margins": 0.01749654859304428,
|
| 143 |
+
"rewards/rejected": 0.009916786104440689,
|
| 144 |
+
"step": 18
|
| 145 |
+
},
|
| 146 |
+
{
|
| 147 |
+
"epoch": 0.2588996763754045,
|
| 148 |
+
"grad_norm": 9.793123390682076,
|
| 149 |
+
"learning_rate": 5e-07,
|
| 150 |
+
"logits/chosen": 36.560420989990234,
|
| 151 |
+
"logits/rejected": 24.802711486816406,
|
| 152 |
+
"logps/chosen": -207.83480834960938,
|
| 153 |
+
"logps/rejected": -159.98675537109375,
|
| 154 |
+
"loss": 0.692,
|
| 155 |
+
"rewards/accuracies": 0.546875,
|
| 156 |
+
"rewards/chosen": 0.004708289634436369,
|
| 157 |
+
"rewards/margins": 0.004980792291462421,
|
| 158 |
+
"rewards/rejected": -0.00027250126004219055,
|
| 159 |
+
"step": 20
|
| 160 |
+
},
|
| 161 |
+
{
|
| 162 |
+
"epoch": 0.284789644012945,
|
| 163 |
+
"grad_norm": 10.276248281197612,
|
| 164 |
+
"learning_rate": 4.997252228714278e-07,
|
| 165 |
+
"logits/chosen": 36.67436981201172,
|
| 166 |
+
"logits/rejected": 25.816286087036133,
|
| 167 |
+
"logps/chosen": -203.99571228027344,
|
| 168 |
+
"logps/rejected": -157.78639221191406,
|
| 169 |
+
"loss": 0.689,
|
| 170 |
+
"rewards/accuracies": 0.578125,
|
| 171 |
+
"rewards/chosen": 0.04165205731987953,
|
| 172 |
+
"rewards/margins": 0.02663404308259487,
|
| 173 |
+
"rewards/rejected": 0.015018017962574959,
|
| 174 |
+
"step": 22
|
| 175 |
+
},
|
| 176 |
+
{
|
| 177 |
+
"epoch": 0.3106796116504854,
|
| 178 |
+
"grad_norm": 9.36691332286361,
|
| 179 |
+
"learning_rate": 4.989014955054745e-07,
|
| 180 |
+
"logits/chosen": 32.67152404785156,
|
| 181 |
+
"logits/rejected": 26.35110092163086,
|
| 182 |
+
"logps/chosen": -222.406982421875,
|
| 183 |
+
"logps/rejected": -174.97457885742188,
|
| 184 |
+
"loss": 0.6728,
|
| 185 |
+
"rewards/accuracies": 0.515625,
|
| 186 |
+
"rewards/chosen": 0.034607432782649994,
|
| 187 |
+
"rewards/margins": 0.0227619968354702,
|
| 188 |
+
"rewards/rejected": 0.011845439672470093,
|
| 189 |
+
"step": 24
|
| 190 |
+
},
|
| 191 |
+
{
|
| 192 |
+
"epoch": 0.3365695792880259,
|
| 193 |
+
"grad_norm": 10.075140623553729,
|
| 194 |
+
"learning_rate": 4.975306286336627e-07,
|
| 195 |
+
"logits/chosen": 34.61298751831055,
|
| 196 |
+
"logits/rejected": 22.848501205444336,
|
| 197 |
+
"logps/chosen": -190.12135314941406,
|
| 198 |
+
"logps/rejected": -169.7635955810547,
|
| 199 |
+
"loss": 0.6757,
|
| 200 |
+
"rewards/accuracies": 0.609375,
|
| 201 |
+
"rewards/chosen": 0.05975666269659996,
|
| 202 |
+
"rewards/margins": 0.05689358711242676,
|
| 203 |
+
"rewards/rejected": 0.002863079309463501,
|
| 204 |
+
"step": 26
|
| 205 |
+
},
|
| 206 |
+
{
|
| 207 |
+
"epoch": 0.36245954692556637,
|
| 208 |
+
"grad_norm": 9.766651095371804,
|
| 209 |
+
"learning_rate": 4.956156357188939e-07,
|
| 210 |
+
"logits/chosen": 37.388824462890625,
|
| 211 |
+
"logits/rejected": 24.61412239074707,
|
| 212 |
+
"logps/chosen": -183.52816772460938,
|
| 213 |
+
"logps/rejected": -142.87033081054688,
|
| 214 |
+
"loss": 0.6649,
|
| 215 |
+
"rewards/accuracies": 0.703125,
|
| 216 |
+
"rewards/chosen": 0.09949050843715668,
|
| 217 |
+
"rewards/margins": 0.07790307700634003,
|
| 218 |
+
"rewards/rejected": 0.0215874332934618,
|
| 219 |
+
"step": 28
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.3883495145631068,
|
| 223 |
+
"grad_norm": 9.534993155007124,
|
| 224 |
+
"learning_rate": 4.931607263312032e-07,
|
| 225 |
+
"logits/chosen": 35.072879791259766,
|
| 226 |
+
"logits/rejected": 23.343503952026367,
|
| 227 |
+
"logps/chosen": -201.98580932617188,
|
| 228 |
+
"logps/rejected": -145.196044921875,
|
| 229 |
+
"loss": 0.6501,
|
| 230 |
+
"rewards/accuracies": 0.71875,
|
| 231 |
+
"rewards/chosen": 0.16385386884212494,
|
| 232 |
+
"rewards/margins": 0.10670199245214462,
|
| 233 |
+
"rewards/rejected": 0.05715188756585121,
|
| 234 |
+
"step": 30
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 0.41423948220064727,
|
| 238 |
+
"grad_norm": 9.757243010304897,
|
| 239 |
+
"learning_rate": 4.9017129689421e-07,
|
| 240 |
+
"logits/chosen": 38.24150466918945,
|
| 241 |
+
"logits/rejected": 25.80931854248047,
|
| 242 |
+
"logps/chosen": -182.25128173828125,
|
| 243 |
+
"logps/rejected": -137.34368896484375,
|
| 244 |
+
"loss": 0.65,
|
| 245 |
+
"rewards/accuracies": 0.734375,
|
| 246 |
+
"rewards/chosen": 0.15896882116794586,
|
| 247 |
+
"rewards/margins": 0.09183251112699509,
|
| 248 |
+
"rewards/rejected": 0.06713630259037018,
|
| 249 |
+
"step": 32
|
| 250 |
+
},
|
| 251 |
+
{
|
| 252 |
+
"epoch": 0.4401294498381877,
|
| 253 |
+
"grad_norm": 9.351248951840846,
|
| 254 |
+
"learning_rate": 4.866539188226085e-07,
|
| 255 |
+
"logits/chosen": 36.365047454833984,
|
| 256 |
+
"logits/rejected": 26.499774932861328,
|
| 257 |
+
"logps/chosen": -186.34649658203125,
|
| 258 |
+
"logps/rejected": -148.74656677246094,
|
| 259 |
+
"loss": 0.6368,
|
| 260 |
+
"rewards/accuracies": 0.734375,
|
| 261 |
+
"rewards/chosen": 0.16049998998641968,
|
| 262 |
+
"rewards/margins": 0.12190230935811996,
|
| 263 |
+
"rewards/rejected": 0.03859768062829971,
|
| 264 |
+
"step": 34
|
| 265 |
+
},
|
| 266 |
+
{
|
| 267 |
+
"epoch": 0.46601941747572817,
|
| 268 |
+
"grad_norm": 9.747161361199119,
|
| 269 |
+
"learning_rate": 4.826163240767716e-07,
|
| 270 |
+
"logits/chosen": 32.18162155151367,
|
| 271 |
+
"logits/rejected": 21.5031681060791,
|
| 272 |
+
"logps/chosen": -211.55101013183594,
|
| 273 |
+
"logps/rejected": -170.30624389648438,
|
| 274 |
+
"loss": 0.6312,
|
| 275 |
+
"rewards/accuracies": 0.8125,
|
| 276 |
+
"rewards/chosen": 0.20323500037193298,
|
| 277 |
+
"rewards/margins": 0.14077112078666687,
|
| 278 |
+
"rewards/rejected": 0.06246389076113701,
|
| 279 |
+
"step": 36
|
| 280 |
+
},
|
| 281 |
+
{
|
| 282 |
+
"epoch": 0.4919093851132686,
|
| 283 |
+
"grad_norm": 8.77950594997527,
|
| 284 |
+
"learning_rate": 4.780673881662242e-07,
|
| 285 |
+
"logits/chosen": 36.65592956542969,
|
| 286 |
+
"logits/rejected": 28.596372604370117,
|
| 287 |
+
"logps/chosen": -178.170166015625,
|
| 288 |
+
"logps/rejected": -115.30381774902344,
|
| 289 |
+
"loss": 0.6193,
|
| 290 |
+
"rewards/accuracies": 0.828125,
|
| 291 |
+
"rewards/chosen": 0.2410201132297516,
|
| 292 |
+
"rewards/margins": 0.1858924776315689,
|
| 293 |
+
"rewards/rejected": 0.05512763559818268,
|
| 294 |
+
"step": 38
|
| 295 |
+
},
|
| 296 |
+
{
|
| 297 |
+
"epoch": 0.517799352750809,
|
| 298 |
+
"grad_norm": 8.94781303872067,
|
| 299 |
+
"learning_rate": 4.730171106393466e-07,
|
| 300 |
+
"logits/chosen": 31.84834098815918,
|
| 301 |
+
"logits/rejected": 25.41543197631836,
|
| 302 |
+
"logps/chosen": -211.7396240234375,
|
| 303 |
+
"logps/rejected": -159.92942810058594,
|
| 304 |
+
"loss": 0.6189,
|
| 305 |
+
"rewards/accuracies": 0.796875,
|
| 306 |
+
"rewards/chosen": 0.2539159655570984,
|
| 307 |
+
"rewards/margins": 0.1977871209383011,
|
| 308 |
+
"rewards/rejected": 0.0561288520693779,
|
| 309 |
+
"step": 40
|
| 310 |
+
},
|
| 311 |
+
{
|
| 312 |
+
"epoch": 0.5436893203883495,
|
| 313 |
+
"grad_norm": 9.230235665250099,
|
| 314 |
+
"learning_rate": 4.6747659310219757e-07,
|
| 315 |
+
"logits/chosen": 39.43976593017578,
|
| 316 |
+
"logits/rejected": 28.925722122192383,
|
| 317 |
+
"logps/chosen": -206.06393432617188,
|
| 318 |
+
"logps/rejected": -152.7125244140625,
|
| 319 |
+
"loss": 0.6154,
|
| 320 |
+
"rewards/accuracies": 0.828125,
|
| 321 |
+
"rewards/chosen": 0.2500843405723572,
|
| 322 |
+
"rewards/margins": 0.19579222798347473,
|
| 323 |
+
"rewards/rejected": 0.05429207533597946,
|
| 324 |
+
"step": 42
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 0.56957928802589,
|
| 328 |
+
"grad_norm": 9.122707874165032,
|
| 329 |
+
"learning_rate": 4.6145801481477433e-07,
|
| 330 |
+
"logits/chosen": 31.554033279418945,
|
| 331 |
+
"logits/rejected": 22.213409423828125,
|
| 332 |
+
"logps/chosen": -214.81248474121094,
|
| 333 |
+
"logps/rejected": -200.99317932128906,
|
| 334 |
+
"loss": 0.5942,
|
| 335 |
+
"rewards/accuracies": 0.828125,
|
| 336 |
+
"rewards/chosen": 0.3934122622013092,
|
| 337 |
+
"rewards/margins": 0.2697424292564392,
|
| 338 |
+
"rewards/rejected": 0.12366984784603119,
|
| 339 |
+
"step": 44
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 0.5954692556634305,
|
| 343 |
+
"grad_norm": 8.293775972177585,
|
| 344 |
+
"learning_rate": 4.549746059183561e-07,
|
| 345 |
+
"logits/chosen": 40.96059799194336,
|
| 346 |
+
"logits/rejected": 31.219024658203125,
|
| 347 |
+
"logps/chosen": -186.52183532714844,
|
| 348 |
+
"logps/rejected": -130.83743286132812,
|
| 349 |
+
"loss": 0.5531,
|
| 350 |
+
"rewards/accuracies": 0.84375,
|
| 351 |
+
"rewards/chosen": 0.4351516366004944,
|
| 352 |
+
"rewards/margins": 0.29554393887519836,
|
| 353 |
+
"rewards/rejected": 0.13960765302181244,
|
| 354 |
+
"step": 46
|
| 355 |
+
},
|
| 356 |
+
{
|
| 357 |
+
"epoch": 0.6213592233009708,
|
| 358 |
+
"grad_norm": 8.320484480615326,
|
| 359 |
+
"learning_rate": 4.480406183527823e-07,
|
| 360 |
+
"logits/chosen": 34.98313522338867,
|
| 361 |
+
"logits/rejected": 23.058082580566406,
|
| 362 |
+
"logps/chosen": -194.0576934814453,
|
| 363 |
+
"logps/rejected": -143.09188842773438,
|
| 364 |
+
"loss": 0.5291,
|
| 365 |
+
"rewards/accuracies": 0.90625,
|
| 366 |
+
"rewards/chosen": 0.5364688634872437,
|
| 367 |
+
"rewards/margins": 0.3940187096595764,
|
| 368 |
+
"rewards/rejected": 0.14245013892650604,
|
| 369 |
+
"step": 48
|
| 370 |
+
},
|
| 371 |
+
{
|
| 372 |
+
"epoch": 0.6472491909385113,
|
| 373 |
+
"grad_norm": 7.915902357485634,
|
| 374 |
+
"learning_rate": 4.4067129452759546e-07,
|
| 375 |
+
"logits/chosen": 39.90618133544922,
|
| 376 |
+
"logits/rejected": 27.514339447021484,
|
| 377 |
+
"logps/chosen": -188.83193969726562,
|
| 378 |
+
"logps/rejected": -126.44863891601562,
|
| 379 |
+
"loss": 0.5153,
|
| 380 |
+
"rewards/accuracies": 0.921875,
|
| 381 |
+
"rewards/chosen": 0.5586945414543152,
|
| 382 |
+
"rewards/margins": 0.3602239787578583,
|
| 383 |
+
"rewards/rejected": 0.19847053289413452,
|
| 384 |
+
"step": 50
|
| 385 |
+
},
|
| 386 |
+
{
|
| 387 |
+
"epoch": 0.6731391585760518,
|
| 388 |
+
"grad_norm": 7.903680790440658,
|
| 389 |
+
"learning_rate": 4.3288283381591725e-07,
|
| 390 |
+
"logits/chosen": 33.0372428894043,
|
| 391 |
+
"logits/rejected": 21.942291259765625,
|
| 392 |
+
"logps/chosen": -183.81349182128906,
|
| 393 |
+
"logps/rejected": -142.9326934814453,
|
| 394 |
+
"loss": 0.5032,
|
| 395 |
+
"rewards/accuracies": 0.859375,
|
| 396 |
+
"rewards/chosen": 0.6302269697189331,
|
| 397 |
+
"rewards/margins": 0.4071354568004608,
|
| 398 |
+
"rewards/rejected": 0.22309155762195587,
|
| 399 |
+
"step": 52
|
| 400 |
+
},
|
| 401 |
+
{
|
| 402 |
+
"epoch": 0.6990291262135923,
|
| 403 |
+
"grad_norm": 7.297509807618061,
|
| 404 |
+
"learning_rate": 4.246923569447104e-07,
|
| 405 |
+
"logits/chosen": 34.447837829589844,
|
| 406 |
+
"logits/rejected": 20.60545539855957,
|
| 407 |
+
"logps/chosen": -179.7378692626953,
|
| 408 |
+
"logps/rejected": -145.105712890625,
|
| 409 |
+
"loss": 0.4965,
|
| 410 |
+
"rewards/accuracies": 0.9375,
|
| 411 |
+
"rewards/chosen": 0.727641224861145,
|
| 412 |
+
"rewards/margins": 0.47567129135131836,
|
| 413 |
+
"rewards/rejected": 0.25196999311447144,
|
| 414 |
+
"step": 54
|
| 415 |
+
},
|
| 416 |
+
{
|
| 417 |
+
"epoch": 0.7249190938511327,
|
| 418 |
+
"grad_norm": 7.283409160445081,
|
| 419 |
+
"learning_rate": 4.161178683597054e-07,
|
| 420 |
+
"logits/chosen": 35.52771759033203,
|
| 421 |
+
"logits/rejected": 30.491806030273438,
|
| 422 |
+
"logps/chosen": -211.5355224609375,
|
| 423 |
+
"logps/rejected": -149.41921997070312,
|
| 424 |
+
"loss": 0.4999,
|
| 425 |
+
"rewards/accuracies": 0.96875,
|
| 426 |
+
"rewards/chosen": 0.752875804901123,
|
| 427 |
+
"rewards/margins": 0.49092933535575867,
|
| 428 |
+
"rewards/rejected": 0.261946439743042,
|
| 429 |
+
"step": 56
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 0.7508090614886731,
|
| 433 |
+
"grad_norm": 7.796223292724318,
|
| 434 |
+
"learning_rate": 4.0717821664772124e-07,
|
| 435 |
+
"logits/chosen": 40.88484573364258,
|
| 436 |
+
"logits/rejected": 29.62355613708496,
|
| 437 |
+
"logps/chosen": -196.11395263671875,
|
| 438 |
+
"logps/rejected": -143.0408935546875,
|
| 439 |
+
"loss": 0.491,
|
| 440 |
+
"rewards/accuracies": 0.90625,
|
| 441 |
+
"rewards/chosen": 0.7662146091461182,
|
| 442 |
+
"rewards/margins": 0.5029052495956421,
|
| 443 |
+
"rewards/rejected": 0.26330941915512085,
|
| 444 |
+
"step": 58
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 0.7766990291262136,
|
| 448 |
+
"grad_norm": 7.057826513245534,
|
| 449 |
+
"learning_rate": 3.978930531033806e-07,
|
| 450 |
+
"logits/chosen": 40.54041290283203,
|
| 451 |
+
"logits/rejected": 30.305131912231445,
|
| 452 |
+
"logps/chosen": -174.91925048828125,
|
| 453 |
+
"logps/rejected": -112.93276977539062,
|
| 454 |
+
"loss": 0.4852,
|
| 455 |
+
"rewards/accuracies": 0.90625,
|
| 456 |
+
"rewards/chosen": 0.7946022748947144,
|
| 457 |
+
"rewards/margins": 0.5570634603500366,
|
| 458 |
+
"rewards/rejected": 0.23753879964351654,
|
| 459 |
+
"step": 60
|
| 460 |
+
},
|
| 461 |
+
{
|
| 462 |
+
"epoch": 0.8025889967637541,
|
| 463 |
+
"grad_norm": 7.4086734288874645,
|
| 464 |
+
"learning_rate": 3.882827885312998e-07,
|
| 465 |
+
"logits/chosen": 39.428497314453125,
|
| 466 |
+
"logits/rejected": 29.150917053222656,
|
| 467 |
+
"logps/chosen": -191.66470336914062,
|
| 468 |
+
"logps/rejected": -136.3485107421875,
|
| 469 |
+
"loss": 0.4617,
|
| 470 |
+
"rewards/accuracies": 0.984375,
|
| 471 |
+
"rewards/chosen": 0.7605564594268799,
|
| 472 |
+
"rewards/margins": 0.5766815543174744,
|
| 473 |
+
"rewards/rejected": 0.1838749349117279,
|
| 474 |
+
"step": 62
|
| 475 |
+
},
|
| 476 |
+
{
|
| 477 |
+
"epoch": 0.8284789644012945,
|
| 478 |
+
"grad_norm": 6.8861010004738095,
|
| 479 |
+
"learning_rate": 3.7836854837871044e-07,
|
| 480 |
+
"logits/chosen": 35.57158279418945,
|
| 481 |
+
"logits/rejected": 25.836395263671875,
|
| 482 |
+
"logps/chosen": -196.1132049560547,
|
| 483 |
+
"logps/rejected": -142.07156372070312,
|
| 484 |
+
"loss": 0.4596,
|
| 485 |
+
"rewards/accuracies": 0.96875,
|
| 486 |
+
"rewards/chosen": 0.861929714679718,
|
| 487 |
+
"rewards/margins": 0.6038858294487,
|
| 488 |
+
"rewards/rejected": 0.2580438554286957,
|
| 489 |
+
"step": 64
|
| 490 |
+
},
|
| 491 |
+
{
|
| 492 |
+
"epoch": 0.8543689320388349,
|
| 493 |
+
"grad_norm": 6.501368437260124,
|
| 494 |
+
"learning_rate": 3.681721262971413e-07,
|
| 495 |
+
"logits/chosen": 37.78006362915039,
|
| 496 |
+
"logits/rejected": 27.594064712524414,
|
| 497 |
+
"logps/chosen": -164.67950439453125,
|
| 498 |
+
"logps/rejected": -110.48625183105469,
|
| 499 |
+
"loss": 0.4547,
|
| 500 |
+
"rewards/accuracies": 1.0,
|
| 501 |
+
"rewards/chosen": 0.8753312826156616,
|
| 502 |
+
"rewards/margins": 0.6975246071815491,
|
| 503 |
+
"rewards/rejected": 0.17780669033527374,
|
| 504 |
+
"step": 66
|
| 505 |
+
},
|
| 506 |
+
{
|
| 507 |
+
"epoch": 0.8802588996763754,
|
| 508 |
+
"grad_norm": 6.543034078515488,
|
| 509 |
+
"learning_rate": 3.577159362352426e-07,
|
| 510 |
+
"logits/chosen": 37.94480514526367,
|
| 511 |
+
"logits/rejected": 27.400300979614258,
|
| 512 |
+
"logps/chosen": -161.64242553710938,
|
| 513 |
+
"logps/rejected": -118.77005004882812,
|
| 514 |
+
"loss": 0.4531,
|
| 515 |
+
"rewards/accuracies": 0.9375,
|
| 516 |
+
"rewards/chosen": 0.8563450574874878,
|
| 517 |
+
"rewards/margins": 0.6019262075424194,
|
| 518 |
+
"rewards/rejected": 0.25441890954971313,
|
| 519 |
+
"step": 68
|
| 520 |
+
},
|
| 521 |
+
{
|
| 522 |
+
"epoch": 0.9061488673139159,
|
| 523 |
+
"grad_norm": 6.720711950688133,
|
| 524 |
+
"learning_rate": 3.470229631680624e-07,
|
| 525 |
+
"logits/chosen": 38.4688835144043,
|
| 526 |
+
"logits/rejected": 28.796794891357422,
|
| 527 |
+
"logps/chosen": -184.064697265625,
|
| 528 |
+
"logps/rejected": -134.16714477539062,
|
| 529 |
+
"loss": 0.4334,
|
| 530 |
+
"rewards/accuracies": 0.921875,
|
| 531 |
+
"rewards/chosen": 0.8126658201217651,
|
| 532 |
+
"rewards/margins": 0.6111183166503906,
|
| 533 |
+
"rewards/rejected": 0.2015475183725357,
|
| 534 |
+
"step": 70
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 0.9320388349514563,
|
| 538 |
+
"grad_norm": 6.228494469432083,
|
| 539 |
+
"learning_rate": 3.361167125710832e-07,
|
| 540 |
+
"logits/chosen": 42.73847579956055,
|
| 541 |
+
"logits/rejected": 31.657482147216797,
|
| 542 |
+
"logps/chosen": -183.9188232421875,
|
| 543 |
+
"logps/rejected": -129.78868103027344,
|
| 544 |
+
"loss": 0.4365,
|
| 545 |
+
"rewards/accuracies": 0.984375,
|
| 546 |
+
"rewards/chosen": 0.8676687479019165,
|
| 547 |
+
"rewards/margins": 0.6447817087173462,
|
| 548 |
+
"rewards/rejected": 0.2228870689868927,
|
| 549 |
+
"step": 72
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"epoch": 0.9579288025889967,
|
| 553 |
+
"grad_norm": 6.71909319850701,
|
| 554 |
+
"learning_rate": 3.2502115875008516e-07,
|
| 555 |
+
"logits/chosen": 34.51922607421875,
|
| 556 |
+
"logits/rejected": 20.536556243896484,
|
| 557 |
+
"logps/chosen": -169.9495391845703,
|
| 558 |
+
"logps/rejected": -114.22787475585938,
|
| 559 |
+
"loss": 0.4202,
|
| 560 |
+
"rewards/accuracies": 0.96875,
|
| 561 |
+
"rewards/chosen": 0.9300148487091064,
|
| 562 |
+
"rewards/margins": 0.7187902331352234,
|
| 563 |
+
"rewards/rejected": 0.21122469007968903,
|
| 564 |
+
"step": 74
|
| 565 |
+
},
|
| 566 |
+
{
|
| 567 |
+
"epoch": 0.9838187702265372,
|
| 568 |
+
"grad_norm": 6.3858630141282795,
|
| 569 |
+
"learning_rate": 3.137606921404191e-07,
|
| 570 |
+
"logits/chosen": 32.11302185058594,
|
| 571 |
+
"logits/rejected": 20.860279083251953,
|
| 572 |
+
"logps/chosen": -204.4998779296875,
|
| 573 |
+
"logps/rejected": -183.44058227539062,
|
| 574 |
+
"loss": 0.4167,
|
| 575 |
+
"rewards/accuracies": 0.96875,
|
| 576 |
+
"rewards/chosen": 0.9314306378364563,
|
| 577 |
+
"rewards/margins": 0.751998782157898,
|
| 578 |
+
"rewards/rejected": 0.17943182587623596,
|
| 579 |
+
"step": 76
|
| 580 |
+
}
|
| 581 |
+
],
|
| 582 |
+
"logging_steps": 2,
|
| 583 |
+
"max_steps": 154,
|
| 584 |
+
"num_input_tokens_seen": 0,
|
| 585 |
+
"num_train_epochs": 2,
|
| 586 |
+
"save_steps": 50000,
|
| 587 |
+
"stateful_callbacks": {
|
| 588 |
+
"TrainerControl": {
|
| 589 |
+
"args": {
|
| 590 |
+
"should_epoch_stop": false,
|
| 591 |
+
"should_evaluate": false,
|
| 592 |
+
"should_log": false,
|
| 593 |
+
"should_save": true,
|
| 594 |
+
"should_training_stop": false
|
| 595 |
+
},
|
| 596 |
+
"attributes": {}
|
| 597 |
+
}
|
| 598 |
+
},
|
| 599 |
+
"total_flos": 0.0,
|
| 600 |
+
"train_batch_size": 8,
|
| 601 |
+
"trial_name": null,
|
| 602 |
+
"trial_params": null
|
| 603 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:57f28f90efd8dbef6a46731681c86c48389058d148a59acf0e68abe0559cd695
|
| 3 |
+
size 7160
|