End of training

README.md

@@ -2,9 +2,15 @@
 license: apache-2.0
 library_name: peft
 tags:
+- alignment-handbook
 - trl
 - dpo
 - generated_from_trainer
+- trl
+- dpo
+- generated_from_trainer
+datasets:
+- HuggingFaceH4/ultrafeedback_binarized
 base_model: mistralai/Mistral-7B-v0.1
 model-index:
 - name: zephyr-7b-dpo-qlora
@@ -16,17 +22,17 @@ should probably proofread and complete it, then remove this comment. -->
 
 # zephyr-7b-dpo-qlora
 
-This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on an unknown dataset.
+This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-qlora](https://huggingface.co/alignment-handbook/zephyr-7b-sft-qlora) on the HuggingFaceH4/ultrafeedback_binarized dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4886
-- Rewards/chosen: -3.3028
-- Rewards/rejected: -4.6175
-- Rewards/accuracies: 0.7520
-- Rewards/margins: 1.3147
-- Logps/rejected: -706.3290
-- Logps/chosen: -594.9012
-- Logits/rejected: 1.7559
-- Logits/chosen: 1.0126
+- Loss: 0.4888
+- Rewards/chosen: -3.3026
+- Rewards/rejected: -4.6171
+- Rewards/accuracies: 0.7510
+- Rewards/margins: 1.3145
+- Logps/rejected: -706.2916
+- Logps/chosen: -594.8843
+- Logits/rejected: 1.7556
+- Logits/chosen: 1.0124
 
 ## Model description
 

all_results.json

@@ -1,5 +1,18 @@
 {
     "epoch": 1.0,
+    "eval_logits/chosen": 1.0124144554138184,
+    "eval_logits/rejected": 1.7555558681488037,
+    "eval_logps/chosen": -594.8843383789062,
+    "eval_logps/rejected": -706.2915649414062,
+    "eval_loss": 0.4887983202934265,
+    "eval_rewards/accuracies": 0.7509999871253967,
+    "eval_rewards/chosen": -3.302633047103882,
+    "eval_rewards/margins": 1.3144937753677368,
+    "eval_rewards/rejected": -4.61712646484375,
+    "eval_runtime": 1589.7118,
+    "eval_samples": 2000,
+    "eval_samples_per_second": 1.258,
+    "eval_steps_per_second": 0.315,
     "train_loss": 0.5201432038994555,
     "train_runtime": 240641.1375,
     "train_samples": 61135,

config.json

@@ -0,0 +1,40 @@
+{
+  "_name_or_path": "mistralai/Mistral-7B-v0.1",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "quantization_config": {
+    "_load_in_4bit": true,
+    "_load_in_8bit": false,
+    "bnb_4bit_compute_dtype": "bfloat16",
+    "bnb_4bit_quant_type": "nf4",
+    "bnb_4bit_use_double_quant": false,
+    "llm_int8_enable_fp32_cpu_offload": false,
+    "llm_int8_has_fp16_weight": false,
+    "llm_int8_skip_modules": null,
+    "llm_int8_threshold": 6.0,
+    "load_in_4bit": true,
+    "load_in_8bit": false,
+    "quant_method": "bitsandbytes"
+  },
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.38.1",
+  "use_cache": true,
+  "vocab_size": 32000
+}

eval_results.json

@@ -0,0 +1,16 @@
+{
+    "epoch": 1.0,
+    "eval_logits/chosen": 1.0124144554138184,
+    "eval_logits/rejected": 1.7555558681488037,
+    "eval_logps/chosen": -594.8843383789062,
+    "eval_logps/rejected": -706.2915649414062,
+    "eval_loss": 0.4887983202934265,
+    "eval_rewards/accuracies": 0.7509999871253967,
+    "eval_rewards/chosen": -3.302633047103882,
+    "eval_rewards/margins": 1.3144937753677368,
+    "eval_rewards/rejected": -4.61712646484375,
+    "eval_runtime": 1589.7118,
+    "eval_samples": 2000,
+    "eval_samples_per_second": 1.258,
+    "eval_steps_per_second": 0.315
+}