End of training

README.md

@@ -1,8 +1,12 @@
 ---
 base_model: mistralai/Mistral-7B-Instruct-v0.3
+datasets:
+- GaetanMichelet/chat-60_ft_task-1
+- GaetanMichelet/chat-120_ft_task-1
 library_name: peft
 license: apache-2.0
 tags:
+- alignment-handbook
 - trl
 - sft
 - generated_from_trainer
@@ -16,9 +20,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # Mistral-7B_task-1_120-samples_config-2
 
-This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) on the None dataset.
+This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) on the GaetanMichelet/chat-60_ft_task-1 and the GaetanMichelet/chat-120_ft_task-1 datasets.
 It achieves the following results on the evaluation set:
-- Loss: 2.1465
+- Loss: 1.1563
 
 ## Model description
 

all_results.json

@@ -1,5 +1,10 @@
 {
     "epoch": 10.909090909090908,
+    "eval_loss": 1.1562939882278442,
+    "eval_runtime": 9.6654,
+    "eval_samples": 24,
+    "eval_samples_per_second": 2.483,
+    "eval_steps_per_second": 2.483,
     "total_flos": 1.4581627275444224e+16,
     "train_loss": 0.7998790429672227,
     "train_runtime": 1139.5176,

config.json

@@ -0,0 +1,42 @@
+{
+  "_name_or_path": "mistralai/Mistral-7B-Instruct-v0.3",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "head_dim": 128,
+  "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_storage": "uint8",
+    "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": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.44.0",
+  "use_cache": true,
+  "vocab_size": 32768
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 10.909090909090908,
+    "eval_loss": 1.1562939882278442,
+    "eval_runtime": 9.6654,
+    "eval_samples": 24,
+    "eval_samples_per_second": 2.483,
+    "eval_steps_per_second": 2.483
+}

runs/Aug23_12-42-44_9mqd6r3-l/events.out.tfevents.1724410943.9mqd6r3-l.1665609.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8de428265b974df25664f6fe64d4c6b6eb34c6d4a2ae078e586330574cfe069c
+size 354